CN107031600A - Automated driving system based on highway - Google Patents
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Abstract
本发明涉及自动驾驶技术领域,具体涉及一种基于高速公路的自动驾驶系统。包括传感器、定位模块、人机交互模块、自动驾驶控制器、车辆执行模块。采用单目相机、立体相机、前向长距毫米微波雷达和四角中距毫米微波雷达代替传统的激光雷达,并分别布置于车内后视镜后方、车辆前保险杠中央、前后保险杠两侧位置,对交通标志道路信息和障碍物信息内的多种信息进行分别采集,将感知融合、路径规划、决策规划和控制等整套自动驾驶系统集成到一个嵌入式控制器中实现。相较于传统采用激光雷达的自动驾驶系统,其成本低廉,易于集成。其感知精度大大提高,系统集成度高,尺寸小,极大地减少了自动驾驶系统的尺寸和减低了系统功耗,易于量产。
The invention relates to the technical field of automatic driving, in particular to a highway-based automatic driving system. Including sensors, positioning modules, human-computer interaction modules, automatic driving controllers, and vehicle execution modules. Monocular camera, stereo camera, forward long-range millimeter microwave radar and four-corner medium-range millimeter microwave radar are used to replace the traditional laser radar, and are respectively arranged behind the interior rearview mirror, in the center of the vehicle's front bumper, and on both sides of the front and rear bumpers. Location, separate collection of various information in traffic sign road information and obstacle information, and integrate a complete set of automatic driving systems such as perception fusion, path planning, decision planning and control into an embedded controller. Compared with the traditional automatic driving system using lidar, it is low in cost and easy to integrate. Its perception accuracy is greatly improved, the system integration is high, and the size is small, which greatly reduces the size and power consumption of the automatic driving system, and is easy to mass produce.
Description
技术领域technical field
本发明涉及自动驾驶技术领域,具体涉及一种基于高速公路的自动驾驶系统。The invention relates to the technical field of automatic driving, in particular to a highway-based automatic driving system.
背景技术Background technique
受益于处理器芯片、深度学习技术和传感器技术的快速进步,自动驾驶研究得到了快速发展。很多整车厂、零部件供应商、互联网企业和科研院所都相继推出了自动驾驶样车或自动驾驶系统,如谷歌的无人驾驶样车、百度的百智自动驾驶样车、日产的drivepilot 1.0自动驾驶系统等。相关技术中的自动驾驶系统,存在以下问题:传感器采用了激光雷达感知驾驶环境,但现阶段激光雷达价格昂贵、且不易集成到车体、影响造型;同时并未将感知融合、路径规划、决策控制等系统整合至一个控制器中,需要多个工控机或多个控制器共同完成自动驾驶控制功能,系统尺寸大、功耗大,抗震性能等并不能符合车规要求,不易商业化和量产。Benefiting from the rapid progress of processor chips, deep learning technology and sensor technology, autonomous driving research has developed rapidly. Many OEMs, component suppliers, Internet companies and scientific research institutes have successively launched autonomous driving prototypes or autonomous driving systems, such as Google's driverless prototype, Baidu's Baizhi autonomous driving prototype, Nissan's drivepilot 1.0 automatic driving system, etc. The automatic driving system in the related technology has the following problems: the sensor uses lidar to perceive the driving environment, but at this stage the lidar is expensive, and it is not easy to integrate into the car body, affecting the shape; Integration of control and other systems into one controller requires multiple industrial computers or multiple controllers to jointly complete the automatic driving control function. The system has a large size, high power consumption, and anti-vibration performance that does not meet the requirements of vehicle regulations. It is not easy to commercialize and quantify Produce.
发明内容Contents of the invention
为解决上述技术问题,本发明提供了一种集成度高、成本低廉且易于量化生产的基于高速公路的嵌入式集成自动驾驶控制器。In order to solve the above technical problems, the present invention provides a highway-based embedded integrated automatic driving controller with high integration, low cost and easy quantitative production.
本发明的技术方案为,包括:The technical scheme of the present invention is, comprises:
传感器:用于获取交通标志道路信息和障碍物信息,并发送给自动驾驶控制器;Sensor: used to obtain traffic sign road information and obstacle information, and send it to the automatic driving controller;
定位模块:用于根据GPS惯导和高精度地图信息计算出自车的绝对位置信息和洗车绝对位置附近的高精度地图信息,并发送给自动驾驶控制器;Positioning module: used to calculate the absolute position information of the own vehicle and the high-precision map information near the absolute position of the car wash according to GPS inertial navigation and high-precision map information, and send them to the automatic driving controller;
人机交互模块:用于接收驾驶员指令,以及显示自动驾驶过程中的车辆状态信息、道路环境感知信息、自动驾驶系统相关信息;Human-computer interaction module: used to receive driver instructions, and display vehicle status information, road environment perception information, and information related to the automatic driving system during automatic driving;
自动驾驶控制器:用于接收传感器发送的交通标志道路信息和障碍物信息,并与定位模块发送的高精度地图信息进行融合,建立车辆行驶局部环境地图,根据人机交互模块中驾驶员设置的起点和终点,在多传感器信息融合模块建立的车辆行驶局部环境地图上,规划满足交通规则和安全性要求的局部行驶路线,最后根据所述局部行驶路线对车辆执行模块发送控制指令;Automatic driving controller: used to receive the traffic sign road information and obstacle information sent by the sensor, and fuse it with the high-precision map information sent by the positioning module to establish a local environment map for the vehicle to drive. Starting point and end point, plan a local driving route that meets traffic rules and safety requirements on the local vehicle driving environment map established by the multi-sensor information fusion module, and finally send control instructions to the vehicle execution module according to the local driving route;
车辆执行模块:用于接收所述自动驾驶控制器发送的控制指令,执行相应的动作。Vehicle execution module: used to receive the control instruction sent by the automatic driving controller, and execute corresponding actions.
进一步的,所述传感器包括单目相机,所述单目相机用于接收交通标志道路信息,所述交通标志道路信息至少包括交通标志信息、交通信号灯信息、车道线信息、道路边沿信息、道路引导信息。Further, the sensor includes a monocular camera, and the monocular camera is used to receive traffic sign road information, and the traffic sign road information includes at least traffic sign information, traffic signal light information, lane line information, road edge information, road guidance information.
进一步的,所述传感器包括立体相机、前向长距毫米微波雷达和四角中距毫米微波雷达,所述立体相机、所述前向长距毫米微波雷达和所述四角中距毫米微波雷达用于接收障碍物信息,所述障碍物信息至少包括行人信息、车辆信息、其他障碍物信息。Further, the sensor includes a stereo camera, a forward long-range millimeter microwave radar and a four-corner middle-range millimeter microwave radar, and the stereo camera, the forward long-range millimeter microwave radar and the four-corner middle-range millimeter microwave radar are used for Obstacle information is received, and the obstacle information includes at least pedestrian information, vehicle information, and other obstacle information.
进一步的,所述单目相机和立体相机安装于车内后视镜后方。Further, the monocular camera and the stereo camera are installed behind the interior rearview mirror.
进一步的,所述前向长距毫米波雷达安装于车辆前保险杠中央,所述四角中距毫米波雷达包括前左角中距毫米波雷达、前右角中距毫米波雷达、后左角中距毫米波雷达、后右角中距毫米波雷达,并分别安装于前后保险杠两侧位置。Further, the forward long-range millimeter-wave radar is installed in the center of the front bumper of the vehicle, and the four-corner mid-range millimeter-wave radar includes the front left-corner mid-range millimeter-wave radar, the front right-corner mid-range millimeter-wave radar, and the rear left corner mid-range millimeter-wave radar. The millimeter-wave radar and the middle-range millimeter-wave radar in the rear right corner are respectively installed on both sides of the front and rear bumpers.
进一步的,所述自动驾驶控制器包括集成于一个可编辑门阵列的自动驾驶感知单元、车辆纵横向动作控制模块、驾驶模式切换控制模块和人机交互控制模块,所述可编辑门阵列包含有可至少与传感器、定位模块进行数据交互的数据传输接口,可向车辆执行模块发送控制指令的控制信号传输接口,以及与人机交互模块进行信号传输的人机交互接口;Further, the automatic driving controller includes an automatic driving perception unit integrated in an editable gate array, a vehicle vertical and lateral movement control module, a driving mode switching control module and a human-computer interaction control module, and the editable gate array includes A data transmission interface capable of at least data interaction with sensors and positioning modules, a control signal transmission interface capable of sending control commands to the vehicle executive module, and a human-computer interaction interface capable of signal transmission with the human-computer interaction module;
所述自动驾驶感知单元用于通过数据传输接口收集交通标志道路信息和障碍物信息,与高精度地图、GPS惯导信息、车轮、车速信息进行融合生成局部行驶路径信息,并将所述局部行驶路径信息发送给车辆纵横向动作控制模块,将障碍物位置信息和自车位置信息发送给人机交互控制模块;The automatic driving perception unit is used to collect traffic sign road information and obstacle information through a data transmission interface, and to fuse with high-precision maps, GPS inertial navigation information, wheels, and vehicle speed information to generate local driving path information, and to generate local driving path information. The path information is sent to the vehicle longitudinal and lateral movement control module, and the obstacle position information and the vehicle position information are sent to the human-machine interaction control module;
所述车辆纵横向动作控制模块用于接收所述局部行驶路径和人机交互控制模块发送的车辆自身姿态信息,通过控制信号传输接口对执行单元各模块发送控制指令;The vehicle longitudinal and lateral motion control module is used to receive the vehicle's own attitude information sent by the local driving path and the human-computer interaction control module, and send control instructions to each module of the execution unit through the control signal transmission interface;
所述驾驶模式切换控制模块用于监测人机交互控制模块输入,控制自动驾驶模式与人工驾驶模式切换,并将切换后的车辆自身姿态信息发送给车辆纵横向动作控制模块;The driving mode switching control module is used to monitor the input of the human-computer interaction control module, control the switching between the automatic driving mode and the manual driving mode, and send the switched vehicle's own attitude information to the vehicle vertical and horizontal motion control module;
所述人机交互控制模块用于通过人机交互接口接收人机交互模块发送的控制指令,以及自动驾驶感知单元发送的障碍物位置信息和自车位置信息,并通过人机交互接口发送给人机交互模块显示输出。The human-computer interaction control module is used to receive the control instructions sent by the human-computer interaction module through the human-computer interaction interface, as well as the obstacle position information and the self-vehicle position information sent by the automatic driving perception unit, and send them to people through the human-computer interaction interface. The computer interaction module displays the output.
进一步的,所述自动驾驶感知单元包括全局路径规划模块,所述全局路径规划模块用于接收人机交互模块中驾驶员设置的起点和终点,根据所述车辆融合定位模块发送的车辆位置信息完成包含行驶路线的自动驾驶行为全局路径规划。Further, the automatic driving perception unit includes a global path planning module, the global path planning module is used to receive the start point and end point set by the driver in the human-computer interaction module, and complete the process according to the vehicle position information sent by the vehicle fusion positioning module. Global path planning for autonomous driving behavior including driving routes.
进一步的,所述自动驾驶感知单元包括局部路径规划模块,所述局部路径规划模块接收全局路径规划模块规划的行驶路线和所述车辆融合定位模块发送的车辆位置信息,在多传感器信息融合模块建立的所述车辆行驶局部环境地图上,规划满足交通规则和安全性要求的局部行驶路径,并将所述局部行驶路径发送给所述车辆纵横向动作控制模块。Further, the automatic driving perception unit includes a local path planning module, the local path planning module receives the driving route planned by the global path planning module and the vehicle position information sent by the vehicle fusion positioning module, and establishes On the local environment map where the vehicle travels, plan a local driving route that meets traffic rules and safety requirements, and send the local driving route to the vehicle longitudinal and lateral movement control module.
进一步的,所述自动驾驶控制器还包括异常处理模块,所述异常处理模块用于监控车辆状态、自动驾驶控制器和道路天气状况,接受报警信号进行处理,以及将所述报警信号发送给人机交互控制模块。Further, the automatic driving controller also includes an exception processing module, the abnormal processing module is used to monitor the vehicle state, the automatic driving controller and road weather conditions, accept the alarm signal for processing, and send the alarm signal to people Computer interactive control module.
进一步的,车辆执行模块包括车辆EMS、EPS、ESC、EPB、BCM和TCU,用于根据自动驾驶控制器发送的控制指令对油门开度、转向、制动、驻车、档位、灯光和喇叭进行控制。Further, the vehicle execution module includes vehicle EMS, EPS, ESC, EPB, BCM and TCU, which are used to control the throttle opening, steering, braking, parking, gear position, lights and horn according to the control instructions sent by the automatic driving controller. Take control.
本发明的有益效果:采用单目相机、立体相机、前向长距毫米微波雷达和四角中距毫米微波雷达代替传统的激光雷达,并分别布置于车内后视镜后方、车辆前保险杠中央、前后保险杠两侧位置,对交通标志道路信息和障碍物信息内的多种信息进行分别采集,将感知融合、路径规划、决策规划和控制等整套自动驾驶系统集成到一个嵌入式控制器中实现。相较于传统采用激光雷达的自动驾驶系统,其成本低廉,易于集成。其感知精度大大提高,系统集成度高,尺寸小,可实现自适应巡航、车道保持、自主变道、自主超车、自主加速、紧急制动和自动靠边停车等自动驾驶功能,同时极大地减少了自动驾驶系统的尺寸和减低了系统功耗,易于量产,抗震性更高。而相较于传统设备与设备之间的数据传输,其传输速率更快,运算精度更高,而由于外部接口较少,故障率低,系统的控制稳定性更高。Beneficial effects of the present invention: use monocular camera, stereo camera, forward long-distance millimeter microwave radar and four-corner mid-distance millimeter microwave radar to replace traditional laser radar, and arrange them respectively behind the interior rearview mirror and in the center of the front bumper of the vehicle , front and rear bumpers, separate collection of various information in traffic signs, road information and obstacle information, and integrate a complete set of automatic driving systems such as perception fusion, path planning, decision planning and control into an embedded controller accomplish. Compared with the traditional automatic driving system using lidar, it is low in cost and easy to integrate. Its perception accuracy is greatly improved, the system is highly integrated, and its size is small. It can realize automatic driving functions such as adaptive cruise, lane keeping, autonomous lane change, autonomous overtaking, autonomous acceleration, emergency braking, and automatic curb parking. The size and power consumption of the autonomous driving system are reduced, and it is easy to mass-produce and has higher shock resistance. Compared with the data transmission between traditional equipment and equipment, its transmission rate is faster and the calculation accuracy is higher. Due to fewer external interfaces, the failure rate is low, and the control stability of the system is higher.
附图说明Description of drawings
图1为本发明模块连接图;Fig. 1 is a module connection diagram of the present invention;
图2为本发明自动驾驶控制器模块连接图。Fig. 2 is a connection diagram of the automatic driving controller module of the present invention.
具体实施方式detailed description
以下通过具体实施例对本发明作进一步的详细说明:Below by specific embodiment the present invention is described in further detail:
如图1所示,本发明包括传感器、定位模块、人机交互模块、车辆执行模块和自动驾驶控制器五部分组成。As shown in Figure 1, the present invention consists of five parts: a sensor, a positioning module, a human-computer interaction module, a vehicle execution module and an automatic driving controller.
传感器由视觉传感器和毫米波雷达等低成本传感器组成,视觉传感器采用单目相机和立体相机,而毫米波雷达包括前向长距毫米波雷达和四角中距毫米波雷达,四角中距毫米波雷达包括前左角中距毫米波雷达、前右角中距毫米波雷达、后左角中距毫米波雷达、后右角中距毫米波雷达。其中单目相机和立体相机安装于车内后视镜后方,前向长距毫米波雷达安装于车辆前保险杠中央,前左角中距毫米波雷达、前右角中距毫米波雷达、后左角中距毫米波雷达、后右角中距毫米波雷达分别安装于车辆的四角位置(即前后保险杠两侧)。单目相机的纵向可测距离应在100米以上,立体相机纵向可测距离应在40米以上,水平视角50度以上;前向长距毫米波雷达纵向可测距离在170米以上,水平视角20度以上,四角中距毫米波雷达纵向可测距离在50米以上,水平视角120度以上。单目相机用于接收交通标志道路信息,交通标志道路信息至少包括交通标志信息、交通信号灯信息、车道线信息、道路边沿信息、道路引导信息。而立体相机、前向长距毫米微波雷达和四角中距毫米微波雷达用于接收障碍物信息,障碍物信息至少包括行人信息、车辆信息、其他障碍物信息。传感器将接收到的交通标志道路信息和障碍物信息,并发送给自动驾驶控制器。The sensor consists of low-cost sensors such as vision sensors and millimeter-wave radars. Vision sensors use monocular cameras and stereo cameras, while millimeter-wave radars include forward long-range millimeter-wave radars and four-corner mid-range millimeter-wave radars. Four-corner mid-range millimeter-wave radars Including the middle-range millimeter-wave radar in the front left corner, the middle-range millimeter-wave radar in the front right corner, the middle-range millimeter-wave radar in the rear left corner, and the middle-range millimeter-wave radar in the rear right corner. Among them, the monocular camera and the stereo camera are installed behind the interior rearview mirror, the forward long-range millimeter-wave radar is installed in the center of the front bumper of the vehicle, the middle-range millimeter-wave radar in the front left corner, the middle-range millimeter-wave radar in the front right corner, and the rear left The corner-middle-range millimeter-wave radar and the rear-right corner-middle-range millimeter-wave radar are respectively installed at the four corners of the vehicle (that is, both sides of the front and rear bumpers). The vertical measurable distance of the monocular camera should be more than 100 meters, the vertical measurable distance of the stereo camera should be more than 40 meters, and the horizontal viewing angle should be more than 50 degrees; More than 20 degrees, the longitudinal measurable distance of the four-corner mid-range millimeter-wave radar is more than 50 meters, and the horizontal viewing angle is more than 120 degrees. The monocular camera is used to receive traffic sign road information, and the traffic sign road information includes at least traffic sign information, traffic signal light information, lane line information, road edge information, and road guidance information. The stereo camera, forward long-range millimeter microwave radar and four-corner medium-range millimeter microwave radar are used to receive obstacle information, which includes at least pedestrian information, vehicle information, and other obstacle information. The sensor sends the received traffic sign road information and obstacle information to the automatic driving controller.
定位模块包括CPS惯导和高精地图,GPS惯导接收GPS信号和车载传感器(如车速和轮速)信号,计算出自车的绝对位置信息,并将该位置信息通过以太网送入自动驾驶控制器;高精度地图存储车辆行驶道路的道路边沿、车道中心线、隧道、路段坡道、路段曲率、匝道出入口、服务区出入口等相关信息,交通标志位置和地标性建筑等的绝对位置信息,并根据GPS惯导计算出自车的绝对位置附近一定区域范围内的高精度地图信息通过以太网自动驾驶控制器。The positioning module includes CPS inertial navigation and high-precision maps. GPS inertial navigation receives GPS signals and vehicle sensor (such as vehicle speed and wheel speed) signals, calculates the absolute position information of the own vehicle, and sends the position information to the automatic driving control via Ethernet The high-precision map stores relevant information such as road edges, lane centerlines, tunnels, road section ramps, road section curvature, ramp entrances and exits, and service area entrances and exits, as well as absolute position information of traffic sign positions and landmark buildings, etc. According to the GPS inertial navigation, the high-precision map information in a certain area near the absolute position of the vehicle is calculated through the Ethernet automatic driving controller.
人机交互模块包含仪表、车内显示屏、车内触摸屏、自动驾驶开关、自动驾驶状态指示灯和紧急制动按钮。仪表、车内显示屏、车内触摸屏显示自动驾驶过程中的车辆状态信息、道路环境感知信息、自动驾驶系统相关信息;车内触摸屏还可以接收驾驶员的相关指令,如设置自动驾驶起始地和目的地;自动驾驶开关开启和关闭自动驾驶系统,自动驾驶状态灯亮起表示正处于自动驾驶模式,紧急制动按钮在紧急情况停车使用。The human-computer interaction module includes instrumentation, in-vehicle display, in-vehicle touch screen, autopilot switch, autopilot status indicator and emergency brake button. Instruments, in-vehicle display screens, and in-vehicle touch screens display vehicle status information, road environment perception information, and information about the automatic driving system during automatic driving; the in-vehicle touch screen can also receive relevant instructions from the driver, such as setting the starting point for automatic driving and destination; the autopilot switch turns on and off the autopilot system, the autopilot status light is on to indicate that it is in autopilot mode, and the emergency brake button is used to stop in an emergency.
车辆执行模块包括车辆EMS、EPS、ESC、EPB、BCM和TCU,用于根据自动驾驶控制器发送的控制指令对油门开度、转向、制动、驻车、档位、灯光和喇叭进行控制。The vehicle execution module includes vehicle EMS, EPS, ESC, EPB, BCM and TCU, which are used to control the accelerator opening, steering, braking, parking, gear position, lights and horn according to the control instructions sent by the automatic driving controller.
如图2所示,自动驾驶控制器包括自动驾驶感知单元、车辆纵横向动作控制模块、异常处理模块、驾驶模式切换控制模块和人机交互控制模块五大部分组成。其中自动驾驶感知模块包括多传感器信息融合、车辆融合定位、全局路径规划模块及局部路径规划模块。As shown in Figure 2, the automatic driving controller consists of five parts: the automatic driving perception unit, the vehicle vertical and horizontal motion control module, the exception handling module, the driving mode switching control module and the human-computer interaction control module. The automatic driving perception module includes multi-sensor information fusion, vehicle fusion positioning, global path planning module and local path planning module.
传感器信息融合模块接收、处理、分析来自单目相机、立体相机、毫米波雷达等传感器获取的交通标志信息、交通信号灯信息、车道线信息、道路边沿信息、道路引导信息、行人信息、车辆信息、其他障碍物信息,进行检测识别后并结合车辆融合定位模块发送的车辆位置信息,进行多源信息融合处理,建立车辆行驶局部环境地图。The sensor information fusion module receives, processes and analyzes traffic sign information, traffic signal light information, lane line information, road edge information, road guidance information, pedestrian information, vehicle information, For other obstacle information, after detection and identification, combined with the vehicle location information sent by the vehicle fusion positioning module, multi-source information fusion processing is performed to establish a local environment map for vehicle driving.
车辆融合定位模块,接收GPS惯导的定位信息,并与车速、转速、高精度地图和多传感器信息融合模块的相关信息融合进行车辆定位。The vehicle fusion positioning module receives the positioning information of GPS inertial navigation, and fuses with the vehicle speed, rotation speed, high-precision map and relevant information of the multi-sensor information fusion module to perform vehicle positioning.
全局路径规划模块,接收人机交互模块中驾驶员设置的起点和终点,根据所述车辆融合定位模块发送的车辆位置信息完成包含行驶路线的自动驾驶行为全局路径规划。The global path planning module receives the start point and end point set by the driver in the human-computer interaction module, and completes the global path planning of the automatic driving behavior including the driving route according to the vehicle position information sent by the vehicle fusion positioning module.
局部路径规划模块,接收全局路径规划模块规划的行驶路线和车辆融合定位模块的定位信息,在多传感器信息融合模块建立的车辆行驶局部环境地图上,规划满足交通规则和安全性要求的局部行驶路径;The local path planning module receives the driving route planned by the global path planning module and the positioning information of the vehicle fusion positioning module, and plans a local driving path that meets the traffic rules and safety requirements on the vehicle local environment map established by the multi-sensor information fusion module ;
车辆纵横向动作控制模块,依据车辆自身姿态和局部规划路径,根据控制策略对车辆执行模块,包括油门(EMS)、转向(EPS)、制动(ESC)、驻车(EPB)、档位(TCU)、灯光和喇叭(BCM)发出CAN总线指令进行控制,并通过反馈信息进行控制调节,操作车辆按照规划的路径实现车辆动作。The vehicle longitudinal and lateral motion control module, according to the vehicle's own posture and local planning path, executes the vehicle module according to the control strategy, including accelerator (EMS), steering (EPS), brake (ESC), parking (EPB), gear ( TCU), light and horn (BCM) issue CAN bus commands for control, and control and adjust through feedback information, and operate the vehicle to realize the vehicle action according to the planned path.
异常处理模块,监控车辆状态、自动驾驶控制器和道路天气状况,接受报警信号,如(燃油异常报警、胎压异常报警、自动驾驶控制器异常报警以及传感器异常报警,天气状况预警等,通过整车网络将报警报文送入控制器内进行处理)发现异常或不适应于自动驾驶的状况,报警提示驾驶员接管车辆,结束自动驾驶,必要时紧急制动停车。The abnormal processing module monitors the vehicle status, automatic driving controller and road weather conditions, and receives alarm signals, such as (abnormal fuel alarm, tire pressure abnormal alarm, automatic driving controller abnormal alarm, sensor abnormal alarm, weather condition early warning, etc., through the whole The vehicle network will send the alarm message to the controller for processing) If abnormal or unsuitable for automatic driving is found, the alarm will prompt the driver to take over the vehicle, end the automatic driving, and brake to stop if necessary.
驾驶模式切换控制模块,监测人机交互模块输入信号,监测到主动(自动驾驶系统开关状态、方向盘运动状态、油门和制动踏板状态)或被动(主要由异常处理模块提供)驾驶模式切换信号后,控制自动驾驶模式与人工驾驶模式的平顺、安全切换,并将切换后的车辆自身姿态信息发送给车辆纵横向动作控制模块。The driving mode switching control module monitors the input signal of the human-computer interaction module, and after monitoring the active (automatic driving system switch state, steering wheel movement state, accelerator and brake pedal state) or passive (mainly provided by the exception processing module) driving mode switching signal , control the smooth and safe switching between the automatic driving mode and the manual driving mode, and send the switched vehicle's own attitude information to the vehicle's vertical and lateral motion control module.
人机交互控制模块,接受人机交互模块的驾驶员的各种输入指令,以及自动驾驶感知单元发送的障碍物位置信息和自车位置信息,并通过整车网络送入驾驶模式切换控制模块处理,并将车辆状态、自动驾驶控制器状态、道路环境感知结果、报警提示信号通过整车网络送入人机交互模块显示,帮助驾驶员了解和监控系统状态。The human-computer interaction control module accepts various input commands from the driver of the human-computer interaction module, as well as the obstacle position information and the vehicle position information sent by the automatic driving perception unit, and sends them to the driving mode switching control module through the vehicle network for processing , and send the vehicle status, automatic driving controller status, road environment perception results, and alarm prompts to the human-computer interaction module for display through the vehicle network, helping the driver understand and monitor the system status.
自动驾驶控制器的总线接口,与GPS惯导、高精度地图和视觉传感器连接采用以太网,与毫米波雷达、人机交互模块、EPS、EMS、ESC、EPB、TCU、BCM连接采用CAN总线。The bus interface of the automatic driving controller adopts Ethernet to connect with GPS inertial navigation, high-precision map and visual sensor, and uses CAN bus to connect with millimeter wave radar, human-computer interaction module, EPS, EMS, ESC, EPB, TCU and BCM.
自动驾驶控制器,软件系统基于乌班图(Ubuntu)操作系统开发,控制器形式采用嵌入式控制器形式,可选用英伟达Tegra K1、X1等芯片实现。The automatic driving controller, the software system is developed based on the Ubuntu operating system, and the controller is in the form of an embedded controller, which can be realized by using NVIDIA Tegra K1, X1 and other chips.
以上所述,仅为本发明的具体实施方式,应当指出,任何熟悉本领域的技术人员在本发明所揭露的技术范围内,可轻易想到的变化或替换,都应涵盖在本发明的保护范围之内。The above is only a specific embodiment of the present invention. It should be pointed out that any changes or substitutions that can be easily conceived by those skilled in the art within the technical scope disclosed in the present invention shall be covered by the protection scope of the present invention. within.
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Cited By (92)
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|---|---|---|---|---|
| CN107329466A (en) * | 2017-08-28 | 2017-11-07 | 北京华清智能科技有限公司 | A kind of automatic Pilot compact car |
| CN107798861A (en) * | 2017-11-30 | 2018-03-13 | 湖北汽车工业学院 | A kind of vehicle cooperative formula formation running method and system |
| CN107797534A (en) * | 2017-09-30 | 2018-03-13 | 安徽江淮汽车集团股份有限公司 | A kind of pure electronic automated driving system |
| CN107844121A (en) * | 2017-12-17 | 2018-03-27 | 成都育芽科技有限公司 | A kind of Vehicular automatic driving system and its application method |
| CN108011947A (en) * | 2017-11-30 | 2018-05-08 | 湖北汽车工业学院 | A kind of vehicle cooperative formula formation driving system |
| CN108162977A (en) * | 2017-11-25 | 2018-06-15 | 深圳市元征科技股份有限公司 | Driving assistance system and control method |
| CN108170126A (en) * | 2017-12-27 | 2018-06-15 | 湖北汽车工业学院 | Control system and automobile |
| CN108182817A (en) * | 2018-01-11 | 2018-06-19 | 北京图森未来科技有限公司 | Automatic Pilot auxiliary system, trackside end auxiliary system and vehicle-mounted end auxiliary system |
| CN108226924A (en) * | 2018-01-11 | 2018-06-29 | 李烜 | Running car environment detection method, apparatus and its application based on millimetre-wave radar |
| CN108280442A (en) * | 2018-02-10 | 2018-07-13 | 西安交通大学 | A kind of multi-source subject fusion method based on path matching |
| CN108334084A (en) * | 2018-01-24 | 2018-07-27 | 北京墨丘科技有限公司 | Automatic driving mode determines method, apparatus, electronic equipment and storage medium |
| CN108375775A (en) * | 2018-01-17 | 2018-08-07 | 上海禾赛光电科技有限公司 | The method of adjustment of vehicle-mounted detection equipment and its parameter, medium, detection system |
| CN108445885A (en) * | 2018-04-20 | 2018-08-24 | 鹤山东风新能源科技有限公司 | A kind of automated driving system and its control method based on pure electric vehicle logistic car |
| CN108549380A (en) * | 2018-05-10 | 2018-09-18 | 芜湖航飞科技股份有限公司 | A kind of servomechanism based on Beidou navigation technology |
| CN108819946A (en) * | 2018-06-12 | 2018-11-16 | 佛山市灏金赢科技有限公司 | A kind of Vehicular automatic driving handover control system and control method |
| CN108873897A (en) * | 2018-06-26 | 2018-11-23 | 广州数娱信息科技有限公司 | Short distance traffic equipment and system |
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| CN109017806A (en) * | 2018-08-09 | 2018-12-18 | 北京智行者科技有限公司 | Vehicle control syetem |
| CN109062209A (en) * | 2018-08-07 | 2018-12-21 | 安徽工程大学 | A kind of intelligently auxiliary Ride Control System and its control method |
| CN109143262A (en) * | 2018-07-27 | 2019-01-04 | 南京威尔瑞智能科技有限公司 | Pilotless automobile automatic control device and its control method |
| CN109164814A (en) * | 2018-11-21 | 2019-01-08 | 安徽江淮汽车集团股份有限公司 | Automatic driving control system towards highway scene |
| CN109345836A (en) * | 2018-10-26 | 2019-02-15 | 北理慧动(常熟)车辆科技有限公司 | A kind of multi-mode unmanned vehicle remote control system and method |
| CN109425882A (en) * | 2017-08-18 | 2019-03-05 | 通用汽车环球科技运作有限责任公司 | Method and apparatus for position error detection |
| CN109510851A (en) * | 2017-09-15 | 2019-03-22 | 华为技术有限公司 | The construction method and equipment of map datum |
| CN109508006A (en) * | 2018-12-10 | 2019-03-22 | 上海宏英智能科技有限公司 | A kind of automated driving system of the autocrane based on Beidou |
| CN109532724A (en) * | 2018-12-29 | 2019-03-29 | 驭势科技(北京)有限公司 | A kind of vehicle-mounted automatic Pilot control circuit |
| CN109814554A (en) * | 2019-01-17 | 2019-05-28 | 深兰科技(上海)有限公司 | A kind of automatic Pilot bus |
| CN109808600A (en) * | 2019-01-07 | 2019-05-28 | 北京百度网讯科技有限公司 | The method for visualizing and device of the perception information of automatic driving vehicle |
| CN109974724A (en) * | 2017-12-27 | 2019-07-05 | 湖南中车时代电动汽车股份有限公司 | A kind of paths planning method for intelligent driving system |
| WO2019140950A1 (en) * | 2018-01-16 | 2019-07-25 | 华为技术有限公司 | Vehicle positioning method and apparatus |
| CN110057376A (en) * | 2019-04-24 | 2019-07-26 | 南京理工大学 | A kind of the heavy-duty freight car automated driving system and method for low cost high robust |
| CN110083099A (en) * | 2019-05-05 | 2019-08-02 | 中国汽车工程研究院股份有限公司 | One kind meeting automobile function safety standard automatic Pilot architecture system and working method |
| CN110188687A (en) * | 2019-05-30 | 2019-08-30 | 爱驰汽车有限公司 | Landform recognition methods, system, equipment and the storage medium of automobile |
| CN110409550A (en) * | 2019-07-29 | 2019-11-05 | 湖南大学 | A fully automatic operation underground mining scraper |
| CN110466495A (en) * | 2019-09-02 | 2019-11-19 | 浙江鸿吉智能控制有限公司 | A kind of intelligence automatic vectorization drives execution system and control method |
| CN110515379A (en) * | 2019-08-12 | 2019-11-29 | 浙江吉利汽车研究院有限公司 | A vehicle automatic driving control system and method thereof |
| CN110568852A (en) * | 2019-10-12 | 2019-12-13 | 深圳市布谷鸟科技有限公司 | Automatic driving system and control method thereof |
| CN110727277A (en) * | 2019-08-23 | 2020-01-24 | 珠海格力电器股份有限公司 | Control method and device of car washer with millimeter wave radar and intelligent car washer |
| WO2020024844A1 (en) * | 2018-07-28 | 2020-02-06 | 上海商汤智能科技有限公司 | Smart driving control method and apparatus, vehicle, electronic device, medium, and product |
| CN110758416A (en) * | 2019-10-31 | 2020-02-07 | 北京易控智驾科技有限公司 | Control system and control method for gear limit of unmanned minecart |
| CN110834636A (en) * | 2019-11-21 | 2020-02-25 | 北京易控智驾科技有限公司 | Method and system for identifying and controlling wheel slip of unmanned mine car |
| CN110871810A (en) * | 2018-08-21 | 2020-03-10 | 上海博泰悦臻网络技术服务有限公司 | Vehicle, vehicle equipment and driving information prompting method based on driving mode |
| CN110979314A (en) * | 2019-12-16 | 2020-04-10 | 驭势科技(北京)有限公司 | Autonomous passenger-riding parking method, vehicle-mounted equipment and storage medium |
| CN111161587A (en) * | 2020-01-03 | 2020-05-15 | 北京汽车集团有限公司 | Vehicle control method |
| CN111267734A (en) * | 2020-04-01 | 2020-06-12 | 上海神添实业有限公司 | Safety protection system for large transport vehicle and early warning method thereof |
| CN111398988A (en) * | 2020-02-20 | 2020-07-10 | 重庆邮电大学 | Integrated intelligent networked automobile automatic driving domain controller system |
| CN111559388A (en) * | 2020-03-26 | 2020-08-21 | 吉利汽车研究院(宁波)有限公司 | A target vehicle screening method, device, equipment and storage medium |
| CN111674345A (en) * | 2020-05-29 | 2020-09-18 | 东风汽车集团有限公司 | A Network Electrical Architecture for Highly Autonomous Driving |
| CN111796299A (en) * | 2020-06-10 | 2020-10-20 | 东风汽车集团有限公司 | An obstacle perception method, perception device and driverless sweeper |
| CN111873995A (en) * | 2020-08-04 | 2020-11-03 | 禾多科技(北京)有限公司 | System and method for automatically driving on-off ramps on highway |
| CN111942376A (en) * | 2020-08-24 | 2020-11-17 | 罗忠明 | Automatic parking system based on 5G and millimeter wave radar |
| CN111959521A (en) * | 2020-08-25 | 2020-11-20 | 厦门理工学院 | Unmanned vehicle control system |
| CN112289027A (en) * | 2020-10-27 | 2021-01-29 | 上海埃维汽车技术股份有限公司 | Automatic driving architecture system meeting automobile function safety standard |
| CN112896169A (en) * | 2021-01-29 | 2021-06-04 | 中汽创智科技有限公司 | Intelligent driving multi-mode control system and method |
| CN113247020A (en) * | 2021-05-12 | 2021-08-13 | 东风汽车集团股份有限公司 | Vehicle take-over control method and system based on L3-level automatic driving |
| CN113353099A (en) * | 2021-05-18 | 2021-09-07 | 宁波慧顺互联网科技有限公司 | Vehicle driving control method and system based on road supervision equipment |
| CN113696907A (en) * | 2021-07-27 | 2021-11-26 | 江铃汽车股份有限公司 | L3-level automatic driving system |
| CN113885516A (en) * | 2021-10-26 | 2022-01-04 | 天津易鼎丰动力科技有限公司 | Automatic driving domain controller of electric tractor and control method thereof |
| CN113895450A (en) * | 2021-10-27 | 2022-01-07 | 东风汽车集团股份有限公司 | Safety redundancy system and control method for unmanned vehicle sensing system |
| CN113932820A (en) * | 2020-06-29 | 2022-01-14 | 杭州海康威视数字技术股份有限公司 | Object detection method and device |
| US11346926B2 (en) | 2018-01-17 | 2022-05-31 | Hesai Technology Co., Ltd. | Detection device and method for adjusting parameter thereof |
| CN114715188A (en) * | 2022-03-25 | 2022-07-08 | 苏州鉴智机器人科技有限公司 | Vehicle automatic driving control system and vehicle |
| US11403069B2 (en) | 2017-07-24 | 2022-08-02 | Tesla, Inc. | Accelerated mathematical engine |
| US11409692B2 (en) | 2017-07-24 | 2022-08-09 | Tesla, Inc. | Vector computational unit |
| CN115016470A (en) * | 2022-05-30 | 2022-09-06 | 东风汽车集团股份有限公司 | A learning-based local path planning optimization method and device for autonomous driving |
| WO2022183808A1 (en) * | 2021-03-01 | 2022-09-09 | 南京航空航天大学 | Chassis-by-wire cyber physical system in intelligent traffic environment, and control method |
| CN115148040A (en) * | 2022-06-28 | 2022-10-04 | 东莞中科云计算研究院 | Unmanned vehicle control method and system for closed road environment |
| US11487288B2 (en) | 2017-03-23 | 2022-11-01 | Tesla, Inc. | Data synthesis for autonomous control systems |
| US11537811B2 (en) | 2018-12-04 | 2022-12-27 | Tesla, Inc. | Enhanced object detection for autonomous vehicles based on field view |
| US11561791B2 (en) | 2018-02-01 | 2023-01-24 | Tesla, Inc. | Vector computational unit receiving data elements in parallel from a last row of a computational array |
| US11562231B2 (en) | 2018-09-03 | 2023-01-24 | Tesla, Inc. | Neural networks for embedded devices |
| US11567514B2 (en) | 2019-02-11 | 2023-01-31 | Tesla, Inc. | Autonomous and user controlled vehicle summon to a target |
| US11610117B2 (en) | 2018-12-27 | 2023-03-21 | Tesla, Inc. | System and method for adapting a neural network model on a hardware platform |
| CN115871719A (en) * | 2023-02-16 | 2023-03-31 | 苏州天准科技股份有限公司 | A domain control method, device, system and storage medium for intelligent driving |
| US11636333B2 (en) | 2018-07-26 | 2023-04-25 | Tesla, Inc. | Optimizing neural network structures for embedded systems |
| US11665108B2 (en) | 2018-10-25 | 2023-05-30 | Tesla, Inc. | QoS manager for system on a chip communications |
| US11681649B2 (en) | 2017-07-24 | 2023-06-20 | Tesla, Inc. | Computational array microprocessor system using non-consecutive data formatting |
| US11734562B2 (en) | 2018-06-20 | 2023-08-22 | Tesla, Inc. | Data pipeline and deep learning system for autonomous driving |
| US11748620B2 (en) | 2019-02-01 | 2023-09-05 | Tesla, Inc. | Generating ground truth for machine learning from time series elements |
| US11790664B2 (en) | 2019-02-19 | 2023-10-17 | Tesla, Inc. | Estimating object properties using visual image data |
| US11816585B2 (en) | 2018-12-03 | 2023-11-14 | Tesla, Inc. | Machine learning models operating at different frequencies for autonomous vehicles |
| US11841434B2 (en) | 2018-07-20 | 2023-12-12 | Tesla, Inc. | Annotation cross-labeling for autonomous control systems |
| US11893393B2 (en) | 2017-07-24 | 2024-02-06 | Tesla, Inc. | Computational array microprocessor system with hardware arbiter managing memory requests |
| US11893774B2 (en) | 2018-10-11 | 2024-02-06 | Tesla, Inc. | Systems and methods for training machine models with augmented data |
| US12014553B2 (en) | 2019-02-01 | 2024-06-18 | Tesla, Inc. | Predicting three-dimensional features for autonomous driving |
| US20250115259A1 (en) * | 2022-03-29 | 2025-04-10 | Hitachi Astemo, Ltd. | Arithmetic processing device and arithmetic processing method |
| US12307350B2 (en) | 2018-01-04 | 2025-05-20 | Tesla, Inc. | Systems and methods for hardware-based pooling |
| US12462575B2 (en) | 2021-08-19 | 2025-11-04 | Tesla, Inc. | Vision-based machine learning model for autonomous driving with adjustable virtual camera |
| US12522243B2 (en) | 2021-08-19 | 2026-01-13 | Tesla, Inc. | Vision-based system training with simulated content |
| US12554467B2 (en) | 2023-05-31 | 2026-02-17 | Tesla, Inc. | Accelerated mathematical engine |
Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN1664733A (en) * | 2005-04-08 | 2005-09-07 | 朱倍他 | Highway vehicle automatic driving system |
| CN101131588A (en) * | 2006-08-25 | 2008-02-27 | 吴体福 | A road vehicle automatic driving system |
| CN104064050A (en) * | 2014-06-30 | 2014-09-24 | 科大讯飞股份有限公司 | Automatic driving system and automatic driving method |
| CN104943684A (en) * | 2014-03-31 | 2015-09-30 | 比亚迪股份有限公司 | Pilotless automobile control system and automobile with same |
| CN105929823A (en) * | 2016-04-29 | 2016-09-07 | 大连楼兰科技股份有限公司 | Existing map-based automatic driving system and driving method thereof |
-
2016
- 2016-10-19 CN CN201610910312.5A patent/CN107031600A/en active Pending
Patent Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN1664733A (en) * | 2005-04-08 | 2005-09-07 | 朱倍他 | Highway vehicle automatic driving system |
| CN101131588A (en) * | 2006-08-25 | 2008-02-27 | 吴体福 | A road vehicle automatic driving system |
| CN104943684A (en) * | 2014-03-31 | 2015-09-30 | 比亚迪股份有限公司 | Pilotless automobile control system and automobile with same |
| CN104064050A (en) * | 2014-06-30 | 2014-09-24 | 科大讯飞股份有限公司 | Automatic driving system and automatic driving method |
| CN105929823A (en) * | 2016-04-29 | 2016-09-07 | 大连楼兰科技股份有限公司 | Existing map-based automatic driving system and driving method thereof |
Cited By (125)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US11487288B2 (en) | 2017-03-23 | 2022-11-01 | Tesla, Inc. | Data synthesis for autonomous control systems |
| US12020476B2 (en) | 2017-03-23 | 2024-06-25 | Tesla, Inc. | Data synthesis for autonomous control systems |
| US12536131B2 (en) | 2017-07-24 | 2026-01-27 | Tesla, Inc. | Vector computational unit |
| US11893393B2 (en) | 2017-07-24 | 2024-02-06 | Tesla, Inc. | Computational array microprocessor system with hardware arbiter managing memory requests |
| US12216610B2 (en) | 2017-07-24 | 2025-02-04 | Tesla, Inc. | Computational array microprocessor system using non-consecutive data formatting |
| US12086097B2 (en) | 2017-07-24 | 2024-09-10 | Tesla, Inc. | Vector computational unit |
| US11403069B2 (en) | 2017-07-24 | 2022-08-02 | Tesla, Inc. | Accelerated mathematical engine |
| US11409692B2 (en) | 2017-07-24 | 2022-08-09 | Tesla, Inc. | Vector computational unit |
| US11681649B2 (en) | 2017-07-24 | 2023-06-20 | Tesla, Inc. | Computational array microprocessor system using non-consecutive data formatting |
| CN109425882A (en) * | 2017-08-18 | 2019-03-05 | 通用汽车环球科技运作有限责任公司 | Method and apparatus for position error detection |
| CN107329466A (en) * | 2017-08-28 | 2017-11-07 | 北京华清智能科技有限公司 | A kind of automatic Pilot compact car |
| CN109510851A (en) * | 2017-09-15 | 2019-03-22 | 华为技术有限公司 | The construction method and equipment of map datum |
| US11810454B2 (en) | 2017-09-15 | 2023-11-07 | Huawei Technologies Co., Ltd. | Map data construction method vehicle terminal, and server |
| CN107797534A (en) * | 2017-09-30 | 2018-03-13 | 安徽江淮汽车集团股份有限公司 | A kind of pure electronic automated driving system |
| CN108162977A (en) * | 2017-11-25 | 2018-06-15 | 深圳市元征科技股份有限公司 | Driving assistance system and control method |
| CN108011947B (en) * | 2017-11-30 | 2020-11-24 | 湖北汽车工业学院 | A vehicle cooperative formation driving system |
| CN108011947A (en) * | 2017-11-30 | 2018-05-08 | 湖北汽车工业学院 | A kind of vehicle cooperative formula formation driving system |
| CN107798861A (en) * | 2017-11-30 | 2018-03-13 | 湖北汽车工业学院 | A kind of vehicle cooperative formula formation running method and system |
| CN107844121A (en) * | 2017-12-17 | 2018-03-27 | 成都育芽科技有限公司 | A kind of Vehicular automatic driving system and its application method |
| CN108170126B (en) * | 2017-12-27 | 2020-09-25 | 湖北汽车工业学院 | Control system and automobile |
| CN109974724B (en) * | 2017-12-27 | 2021-08-31 | 湖南中车时代电动汽车股份有限公司 | Path planning method for intelligent driving system |
| CN108170126A (en) * | 2017-12-27 | 2018-06-15 | 湖北汽车工业学院 | Control system and automobile |
| CN109974724A (en) * | 2017-12-27 | 2019-07-05 | 湖南中车时代电动汽车股份有限公司 | A kind of paths planning method for intelligent driving system |
| US12307350B2 (en) | 2018-01-04 | 2025-05-20 | Tesla, Inc. | Systems and methods for hardware-based pooling |
| CN108226924B (en) * | 2018-01-11 | 2020-11-10 | 南京楚航科技有限公司 | Automobile driving environment detection method and device based on millimeter wave radar and application of automobile driving environment detection method and device |
| US11232709B2 (en) | 2018-01-11 | 2022-01-25 | Beijing Tusen Zhitu Technology Co., Ltd. | System of automatic driving assistance, roadside assistance and vehicle-side assistance |
| CN108182817A (en) * | 2018-01-11 | 2018-06-19 | 北京图森未来科技有限公司 | Automatic Pilot auxiliary system, trackside end auxiliary system and vehicle-mounted end auxiliary system |
| CN108226924A (en) * | 2018-01-11 | 2018-06-29 | 李烜 | Running car environment detection method, apparatus and its application based on millimetre-wave radar |
| WO2019140950A1 (en) * | 2018-01-16 | 2019-07-25 | 华为技术有限公司 | Vehicle positioning method and apparatus |
| US11346926B2 (en) | 2018-01-17 | 2022-05-31 | Hesai Technology Co., Ltd. | Detection device and method for adjusting parameter thereof |
| CN108375775A (en) * | 2018-01-17 | 2018-08-07 | 上海禾赛光电科技有限公司 | The method of adjustment of vehicle-mounted detection equipment and its parameter, medium, detection system |
| CN108334084A (en) * | 2018-01-24 | 2018-07-27 | 北京墨丘科技有限公司 | Automatic driving mode determines method, apparatus, electronic equipment and storage medium |
| US11561791B2 (en) | 2018-02-01 | 2023-01-24 | Tesla, Inc. | Vector computational unit receiving data elements in parallel from a last row of a computational array |
| US11797304B2 (en) | 2018-02-01 | 2023-10-24 | Tesla, Inc. | Instruction set architecture for a vector computational unit |
| US12455739B2 (en) | 2018-02-01 | 2025-10-28 | Tesla, Inc. | Instruction set architecture for a vector computational unit |
| CN108280442A (en) * | 2018-02-10 | 2018-07-13 | 西安交通大学 | A kind of multi-source subject fusion method based on path matching |
| CN108280442B (en) * | 2018-02-10 | 2020-07-28 | 西安交通大学 | Multi-source target fusion method based on track matching |
| CN108445885A (en) * | 2018-04-20 | 2018-08-24 | 鹤山东风新能源科技有限公司 | A kind of automated driving system and its control method based on pure electric vehicle logistic car |
| CN108549380A (en) * | 2018-05-10 | 2018-09-18 | 芜湖航飞科技股份有限公司 | A kind of servomechanism based on Beidou navigation technology |
| CN108819946A (en) * | 2018-06-12 | 2018-11-16 | 佛山市灏金赢科技有限公司 | A kind of Vehicular automatic driving handover control system and control method |
| US11734562B2 (en) | 2018-06-20 | 2023-08-22 | Tesla, Inc. | Data pipeline and deep learning system for autonomous driving |
| CN108873897A (en) * | 2018-06-26 | 2018-11-23 | 广州数娱信息科技有限公司 | Short distance traffic equipment and system |
| US11841434B2 (en) | 2018-07-20 | 2023-12-12 | Tesla, Inc. | Annotation cross-labeling for autonomous control systems |
| US11636333B2 (en) | 2018-07-26 | 2023-04-25 | Tesla, Inc. | Optimizing neural network structures for embedded systems |
| US12079723B2 (en) | 2018-07-26 | 2024-09-03 | Tesla, Inc. | Optimizing neural network structures for embedded systems |
| CN109143262A (en) * | 2018-07-27 | 2019-01-04 | 南京威尔瑞智能科技有限公司 | Pilotless automobile automatic control device and its control method |
| WO2020024844A1 (en) * | 2018-07-28 | 2020-02-06 | 上海商汤智能科技有限公司 | Smart driving control method and apparatus, vehicle, electronic device, medium, and product |
| CN109062209A (en) * | 2018-08-07 | 2018-12-21 | 安徽工程大学 | A kind of intelligently auxiliary Ride Control System and its control method |
| CN108974003A (en) * | 2018-08-09 | 2018-12-11 | 北京智行者科技有限公司 | A kind of exchange method |
| CN109002042A (en) * | 2018-08-09 | 2018-12-14 | 北京智行者科技有限公司 | Electric-control system |
| CN109017806A (en) * | 2018-08-09 | 2018-12-18 | 北京智行者科技有限公司 | Vehicle control syetem |
| CN108931981A (en) * | 2018-08-14 | 2018-12-04 | 汽-大众汽车有限公司 | A kind of paths planning method of automatic driving vehicle |
| CN110871810A (en) * | 2018-08-21 | 2020-03-10 | 上海博泰悦臻网络技术服务有限公司 | Vehicle, vehicle equipment and driving information prompting method based on driving mode |
| US11983630B2 (en) | 2018-09-03 | 2024-05-14 | Tesla, Inc. | Neural networks for embedded devices |
| US11562231B2 (en) | 2018-09-03 | 2023-01-24 | Tesla, Inc. | Neural networks for embedded devices |
| US12346816B2 (en) | 2018-09-03 | 2025-07-01 | Tesla, Inc. | Neural networks for embedded devices |
| US11893774B2 (en) | 2018-10-11 | 2024-02-06 | Tesla, Inc. | Systems and methods for training machine models with augmented data |
| US11665108B2 (en) | 2018-10-25 | 2023-05-30 | Tesla, Inc. | QoS manager for system on a chip communications |
| CN109345836A (en) * | 2018-10-26 | 2019-02-15 | 北理慧动(常熟)车辆科技有限公司 | A kind of multi-mode unmanned vehicle remote control system and method |
| CN109164814A (en) * | 2018-11-21 | 2019-01-08 | 安徽江淮汽车集团股份有限公司 | Automatic driving control system towards highway scene |
| US12367405B2 (en) | 2018-12-03 | 2025-07-22 | Tesla, Inc. | Machine learning models operating at different frequencies for autonomous vehicles |
| US11816585B2 (en) | 2018-12-03 | 2023-11-14 | Tesla, Inc. | Machine learning models operating at different frequencies for autonomous vehicles |
| US11908171B2 (en) | 2018-12-04 | 2024-02-20 | Tesla, Inc. | Enhanced object detection for autonomous vehicles based on field view |
| US12198396B2 (en) | 2018-12-04 | 2025-01-14 | Tesla, Inc. | Enhanced object detection for autonomous vehicles based on field view |
| US11537811B2 (en) | 2018-12-04 | 2022-12-27 | Tesla, Inc. | Enhanced object detection for autonomous vehicles based on field view |
| CN109508006A (en) * | 2018-12-10 | 2019-03-22 | 上海宏英智能科技有限公司 | A kind of automated driving system of the autocrane based on Beidou |
| US11610117B2 (en) | 2018-12-27 | 2023-03-21 | Tesla, Inc. | System and method for adapting a neural network model on a hardware platform |
| US12136030B2 (en) | 2018-12-27 | 2024-11-05 | Tesla, Inc. | System and method for adapting a neural network model on a hardware platform |
| CN109532724B (en) * | 2018-12-29 | 2020-12-01 | 驭势科技(北京)有限公司 | A vehicle-mounted automatic driving control circuit |
| CN109532724A (en) * | 2018-12-29 | 2019-03-29 | 驭势科技(北京)有限公司 | A kind of vehicle-mounted automatic Pilot control circuit |
| CN109808600A (en) * | 2019-01-07 | 2019-05-28 | 北京百度网讯科技有限公司 | The method for visualizing and device of the perception information of automatic driving vehicle |
| CN109814554A (en) * | 2019-01-17 | 2019-05-28 | 深兰科技(上海)有限公司 | A kind of automatic Pilot bus |
| US11748620B2 (en) | 2019-02-01 | 2023-09-05 | Tesla, Inc. | Generating ground truth for machine learning from time series elements |
| US12223428B2 (en) | 2019-02-01 | 2025-02-11 | Tesla, Inc. | Generating ground truth for machine learning from time series elements |
| US12014553B2 (en) | 2019-02-01 | 2024-06-18 | Tesla, Inc. | Predicting three-dimensional features for autonomous driving |
| US12164310B2 (en) | 2019-02-11 | 2024-12-10 | Tesla, Inc. | Autonomous and user controlled vehicle summon to a target |
| US11567514B2 (en) | 2019-02-11 | 2023-01-31 | Tesla, Inc. | Autonomous and user controlled vehicle summon to a target |
| US12236689B2 (en) | 2019-02-19 | 2025-02-25 | Tesla, Inc. | Estimating object properties using visual image data |
| US11790664B2 (en) | 2019-02-19 | 2023-10-17 | Tesla, Inc. | Estimating object properties using visual image data |
| CN110057376A (en) * | 2019-04-24 | 2019-07-26 | 南京理工大学 | A kind of the heavy-duty freight car automated driving system and method for low cost high robust |
| CN110083099A (en) * | 2019-05-05 | 2019-08-02 | 中国汽车工程研究院股份有限公司 | One kind meeting automobile function safety standard automatic Pilot architecture system and working method |
| CN110188687B (en) * | 2019-05-30 | 2021-08-20 | 爱驰汽车有限公司 | Method, system, device and storage medium for identifying terrain of automobile |
| CN110188687A (en) * | 2019-05-30 | 2019-08-30 | 爱驰汽车有限公司 | Landform recognition methods, system, equipment and the storage medium of automobile |
| CN110409550A (en) * | 2019-07-29 | 2019-11-05 | 湖南大学 | A fully automatic operation underground mining scraper |
| CN110515379A (en) * | 2019-08-12 | 2019-11-29 | 浙江吉利汽车研究院有限公司 | A vehicle automatic driving control system and method thereof |
| CN110727277A (en) * | 2019-08-23 | 2020-01-24 | 珠海格力电器股份有限公司 | Control method and device of car washer with millimeter wave radar and intelligent car washer |
| CN110466495A (en) * | 2019-09-02 | 2019-11-19 | 浙江鸿吉智能控制有限公司 | A kind of intelligence automatic vectorization drives execution system and control method |
| CN110466495B (en) * | 2019-09-02 | 2024-04-09 | 浙江鸿吉智能控制有限公司 | Intelligent automatic vector driving execution system and control method |
| CN110568852A (en) * | 2019-10-12 | 2019-12-13 | 深圳市布谷鸟科技有限公司 | Automatic driving system and control method thereof |
| CN110758416A (en) * | 2019-10-31 | 2020-02-07 | 北京易控智驾科技有限公司 | Control system and control method for gear limit of unmanned minecart |
| CN110834636A (en) * | 2019-11-21 | 2020-02-25 | 北京易控智驾科技有限公司 | Method and system for identifying and controlling wheel slip of unmanned mine car |
| CN110979314A (en) * | 2019-12-16 | 2020-04-10 | 驭势科技(北京)有限公司 | Autonomous passenger-riding parking method, vehicle-mounted equipment and storage medium |
| CN111161587A (en) * | 2020-01-03 | 2020-05-15 | 北京汽车集团有限公司 | Vehicle control method |
| CN111398988A (en) * | 2020-02-20 | 2020-07-10 | 重庆邮电大学 | Integrated intelligent networked automobile automatic driving domain controller system |
| CN111559388A (en) * | 2020-03-26 | 2020-08-21 | 吉利汽车研究院(宁波)有限公司 | A target vehicle screening method, device, equipment and storage medium |
| CN111559388B (en) * | 2020-03-26 | 2022-07-12 | 吉利汽车研究院(宁波)有限公司 | Target vehicle screening method, device, equipment and storage medium |
| CN111267734A (en) * | 2020-04-01 | 2020-06-12 | 上海神添实业有限公司 | Safety protection system for large transport vehicle and early warning method thereof |
| CN111674345B (en) * | 2020-05-29 | 2021-11-30 | 东风汽车集团有限公司 | Network electrical structure suitable for high autopilot |
| CN111674345A (en) * | 2020-05-29 | 2020-09-18 | 东风汽车集团有限公司 | A Network Electrical Architecture for Highly Autonomous Driving |
| CN111796299A (en) * | 2020-06-10 | 2020-10-20 | 东风汽车集团有限公司 | An obstacle perception method, perception device and driverless sweeper |
| CN113932820A (en) * | 2020-06-29 | 2022-01-14 | 杭州海康威视数字技术股份有限公司 | Object detection method and device |
| CN111873995A (en) * | 2020-08-04 | 2020-11-03 | 禾多科技(北京)有限公司 | System and method for automatically driving on-off ramps on highway |
| CN111873995B (en) * | 2020-08-04 | 2021-07-23 | 禾多科技(北京)有限公司 | System and method for automatic driving on and off ramps of expressways |
| CN111942376A (en) * | 2020-08-24 | 2020-11-17 | 罗忠明 | Automatic parking system based on 5G and millimeter wave radar |
| CN111942376B (en) * | 2020-08-24 | 2021-07-06 | 罗忠明 | Automatic parking system based on 5G and millimeter wave radar |
| CN111959521A (en) * | 2020-08-25 | 2020-11-20 | 厦门理工学院 | Unmanned vehicle control system |
| CN111959521B (en) * | 2020-08-25 | 2021-11-12 | 厦门理工学院 | An unmanned vehicle control system |
| CN112289027A (en) * | 2020-10-27 | 2021-01-29 | 上海埃维汽车技术股份有限公司 | Automatic driving architecture system meeting automobile function safety standard |
| CN112896169A (en) * | 2021-01-29 | 2021-06-04 | 中汽创智科技有限公司 | Intelligent driving multi-mode control system and method |
| WO2022183808A1 (en) * | 2021-03-01 | 2022-09-09 | 南京航空航天大学 | Chassis-by-wire cyber physical system in intelligent traffic environment, and control method |
| US11858525B2 (en) | 2021-03-01 | 2024-01-02 | Nanjing University Of Aeronautics And Astronautics | Chassis-by-wire cyber physical system in intelligent traffic environment, and control method |
| CN113247020A (en) * | 2021-05-12 | 2021-08-13 | 东风汽车集团股份有限公司 | Vehicle take-over control method and system based on L3-level automatic driving |
| CN113353099A (en) * | 2021-05-18 | 2021-09-07 | 宁波慧顺互联网科技有限公司 | Vehicle driving control method and system based on road supervision equipment |
| CN113696907A (en) * | 2021-07-27 | 2021-11-26 | 江铃汽车股份有限公司 | L3-level automatic driving system |
| US12522243B2 (en) | 2021-08-19 | 2026-01-13 | Tesla, Inc. | Vision-based system training with simulated content |
| US12462575B2 (en) | 2021-08-19 | 2025-11-04 | Tesla, Inc. | Vision-based machine learning model for autonomous driving with adjustable virtual camera |
| CN113885516B (en) * | 2021-10-26 | 2023-09-26 | 天津易鼎丰动力科技有限公司 | Automatic driving domain controller of electric tractor and control method thereof |
| CN113885516A (en) * | 2021-10-26 | 2022-01-04 | 天津易鼎丰动力科技有限公司 | Automatic driving domain controller of electric tractor and control method thereof |
| CN113895450A (en) * | 2021-10-27 | 2022-01-07 | 东风汽车集团股份有限公司 | Safety redundancy system and control method for unmanned vehicle sensing system |
| CN114715188A (en) * | 2022-03-25 | 2022-07-08 | 苏州鉴智机器人科技有限公司 | Vehicle automatic driving control system and vehicle |
| US20250115259A1 (en) * | 2022-03-29 | 2025-04-10 | Hitachi Astemo, Ltd. | Arithmetic processing device and arithmetic processing method |
| CN115016470A (en) * | 2022-05-30 | 2022-09-06 | 东风汽车集团股份有限公司 | A learning-based local path planning optimization method and device for autonomous driving |
| CN115148040A (en) * | 2022-06-28 | 2022-10-04 | 东莞中科云计算研究院 | Unmanned vehicle control method and system for closed road environment |
| CN115871719A (en) * | 2023-02-16 | 2023-03-31 | 苏州天准科技股份有限公司 | A domain control method, device, system and storage medium for intelligent driving |
| US12554467B2 (en) | 2023-05-31 | 2026-02-17 | Tesla, Inc. | Accelerated mathematical engine |
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