WO2019023747A1 - A self-drive land vehicle - Google Patents
A self-drive land vehicle Download PDFInfo
- Publication number
- WO2019023747A1 WO2019023747A1 PCT/AU2018/050797 AU2018050797W WO2019023747A1 WO 2019023747 A1 WO2019023747 A1 WO 2019023747A1 AU 2018050797 W AU2018050797 W AU 2018050797W WO 2019023747 A1 WO2019023747 A1 WO 2019023747A1
- Authority
- WO
- WIPO (PCT)
- Prior art keywords
- road
- tracking
- self
- route
- land vehicle
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Ceased
Links
Classifications
-
- G—PHYSICS
- G05—CONTROLLING; REGULATING
- G05D—SYSTEMS FOR CONTROLLING OR REGULATING NON-ELECTRIC VARIABLES
- G05D1/00—Control of position, course, altitude or attitude of land, water, air or space vehicles, e.g. using automatic pilots
- G05D1/02—Control of position or course in two dimensions
- G05D1/021—Control of position or course in two dimensions specially adapted to land vehicles
- G05D1/0231—Control of position or course in two dimensions specially adapted to land vehicles using optical position detecting means
- G05D1/0246—Control of position or course in two dimensions specially adapted to land vehicles using optical position detecting means using a video camera in combination with image processing means
- G05D1/0248—Control of position or course in two dimensions specially adapted to land vehicles using optical position detecting means using a video camera in combination with image processing means in combination with a laser
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01C—MEASURING DISTANCES, LEVELS OR BEARINGS; SURVEYING; NAVIGATION; GYROSCOPIC INSTRUMENTS; PHOTOGRAMMETRY OR VIDEOGRAMMETRY
- G01C21/00—Navigation; Navigational instruments not provided for in groups G01C1/00 - G01C19/00
- G01C21/26—Navigation; Navigational instruments not provided for in groups G01C1/00 - G01C19/00 specially adapted for navigation in a road network
- G01C21/28—Navigation; Navigational instruments not provided for in groups G01C1/00 - G01C19/00 specially adapted for navigation in a road network with correlation of data from several navigational instruments
- G01C21/30—Map- or contour-matching
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01S—RADIO DIRECTION-FINDING; RADIO NAVIGATION; DETERMINING DISTANCE OR VELOCITY BY USE OF RADIO WAVES; LOCATING OR PRESENCE-DETECTING BY USE OF THE REFLECTION OR RERADIATION OF RADIO WAVES; ANALOGOUS ARRANGEMENTS USING OTHER WAVES
- G01S17/00—Systems using the reflection or reradiation of electromagnetic waves other than radio waves, e.g. lidar systems
- G01S17/66—Tracking systems using electromagnetic waves other than radio waves
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01S—RADIO DIRECTION-FINDING; RADIO NAVIGATION; DETERMINING DISTANCE OR VELOCITY BY USE OF RADIO WAVES; LOCATING OR PRESENCE-DETECTING BY USE OF THE REFLECTION OR RERADIATION OF RADIO WAVES; ANALOGOUS ARRANGEMENTS USING OTHER WAVES
- G01S17/00—Systems using the reflection or reradiation of electromagnetic waves other than radio waves, e.g. lidar systems
- G01S17/88—Lidar systems specially adapted for specific applications
- G01S17/93—Lidar systems specially adapted for specific applications for anti-collision purposes
- G01S17/931—Lidar systems specially adapted for specific applications for anti-collision purposes of land vehicles
-
- G—PHYSICS
- G05—CONTROLLING; REGULATING
- G05D—SYSTEMS FOR CONTROLLING OR REGULATING NON-ELECTRIC VARIABLES
- G05D1/00—Control of position, course, altitude or attitude of land, water, air or space vehicles, e.g. using automatic pilots
-
- G—PHYSICS
- G06—COMPUTING OR CALCULATING; COUNTING
- G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
- G06V20/00—Scenes; Scene-specific elements
- G06V20/50—Context or environment of the image
- G06V20/56—Context or environment of the image exterior to a vehicle by using sensors mounted on the vehicle
-
- G—PHYSICS
- G06—COMPUTING OR CALCULATING; COUNTING
- G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
- G06V20/00—Scenes; Scene-specific elements
- G06V20/50—Context or environment of the image
- G06V20/56—Context or environment of the image exterior to a vehicle by using sensors mounted on the vehicle
- G06V20/588—Recognition of the road, e.g. of lane markings; Recognition of the vehicle driving pattern in relation to the road
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01C—MEASURING DISTANCES, LEVELS OR BEARINGS; SURVEYING; NAVIGATION; GYROSCOPIC INSTRUMENTS; PHOTOGRAMMETRY OR VIDEOGRAMMETRY
- G01C21/00—Navigation; Navigational instruments not provided for in groups G01C1/00 - G01C19/00
- G01C21/10—Navigation; Navigational instruments not provided for in groups G01C1/00 - G01C19/00 by using measurements of speed or acceleration
- G01C21/12—Navigation; Navigational instruments not provided for in groups G01C1/00 - G01C19/00 by using measurements of speed or acceleration executed aboard the object being navigated; Dead reckoning
- G01C21/16—Navigation; Navigational instruments not provided for in groups G01C1/00 - G01C19/00 by using measurements of speed or acceleration executed aboard the object being navigated; Dead reckoning by integrating acceleration or speed, i.e. inertial navigation
- G01C21/165—Navigation; Navigational instruments not provided for in groups G01C1/00 - G01C19/00 by using measurements of speed or acceleration executed aboard the object being navigated; Dead reckoning by integrating acceleration or speed, i.e. inertial navigation combined with non-inertial navigation instruments
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01S—RADIO DIRECTION-FINDING; RADIO NAVIGATION; DETERMINING DISTANCE OR VELOCITY BY USE OF RADIO WAVES; LOCATING OR PRESENCE-DETECTING BY USE OF THE REFLECTION OR RERADIATION OF RADIO WAVES; ANALOGOUS ARRANGEMENTS USING OTHER WAVES
- G01S19/00—Satellite radio beacon positioning systems; Determining position, velocity or attitude using signals transmitted by such systems
- G01S19/38—Determining a navigation solution using signals transmitted by a satellite radio beacon positioning system
Definitions
- the present invention relates to self-drive vehicles.
- a self-drive land vehicle comprising route tracking means arranged for tracking a predetermined route along a length of a road, within extremities of a width of said road, and vehicle propelling means for propelling said vehicle via said land, wherein said route tracking means is arranged to read road data, which provides a map of said road, at predetermined intervals, and communicate with said vehicle propelling means to propel said vehicle along said predetermined route.
- a self-drive land vehicle comprising route tracking means arranged for tracking a predetermined route along a length of a road, within extremities of a width of said road, and vehicle propelling means for propelling said vehicle via said land, wherein said route tracking means is arranged to compare live GPS readings, taken at predetermined intervals, with road data, which provides a map of said road, and communicate with said vehicle propelling means to propel said vehicle along said predetermined route.
- a system of tracking a self- drive land vehicle along a predetermined route of a length of road comprising route tracking means arranged for tracking said predetermined route, within extremities of a width of said road, and vehicle propelling means for propelling said vehicle via said land, wherein said route tracking means is arranged to read road data, which provides a map of said road, at predetermined intervals, and communicate with said vehicle propelling means to propel said vehicle along said predetermined route.
- a system of tracking a self- drive land vehicle along a predetermined route of a length of road comprising route tracking means arranged for tracking said predetermined route, within extremities of a width of said road, and vehicle propelling means for propelling said vehicle via said land, wherein said route tracking means is arranged to compare live GPS readings, taken at predetermined intervals, with road data, which provides a map of said road, and communicate with said vehicle propelling means to propel said vehicle along said predetermined route.
- said live GPS readings are provided by said vehicle's satellite navigation system.
- said road data provides a map of extremities of a width of said road, and more preferably said lanes of said road.
- said route tracking means of said one, other, yet other and still other aspects of the present invention is arranged for receipt of said road data.
- said road data comprises road survey data of one or more longitudinal segments of said road.
- said route tracking means preferably further comprises GPS navigation functionality for said comparison of live GPS readings.
- said road data is provided by satellite imaging or other corresponding technology.
- said road data is more preferably provided by whichever technology enables said road to be more accurately mapped and this may more preferably further comprise a combination of technologies.
- said GPS navigation functionality or said mapping or both comprises the application of one or more algorithms which preferably include statistics to increase accuracy. For example, accuracy of a single GPS reading varies considerably depending on the specific technology. GPS navigation and satellite imaging of the present invention can, and preferably does, comprise multiple readings for any given longitudinal segment of said road. The accuracy of these readings relating to a single said longitudinal segment can therefore be increased using said algorithms.
- said route tracking means of said one, other, still other and yet other aspects of the present invention is further arranged to detect road markers applied to said road to demarcate extremities of said road or lanes thereof.
- said route tracking means of said one, other, still other and yet other aspects of the present invention preferably further comprise road marker detection means arranged for detection of said road markers.
- the road and lane markers of said one, other, still other and yet other aspects of the present invention preferably comprise paint applied to a surface of a sealed road, in accordance with current practices.
- said road and lane markers of said one, other, still other and yet other aspects of the present invention preferably further comprise material arranged for detection by said road marker detection means. This could, for example, comprise any suitable material and corresponding detection means.
- said road or lane marker paint could comprise material that is detectable acoustically or visually respectively comprising, for example, radar or optic sensors.
- said road marker detection means could comprise any suitable means of detection. In this regard it is likely that currently available collision avoidance technology, for example, may be suitable or relatively readily adaptable.
- route tracking means also being arranged to detect said road markers is that tracking of said vehicle along said predetermined route is not dependent entirely on highly accurate GPS navigation and corresponding said road mapping. Another advantage is that said route tracking means has built in redundancy. As long as said GPS navigation and road mapping is functioning, and with the necessary accuracy, to locate said vehicle upon said road then, if necessary and if said road markers are present and suitably detectable to an appropriate level of accuracy and therefore safety, said route tracking mean can operate at least substantially entirely via detection of said road markers.
- said road markers of said one, other, still other and yet other aspects of the present invention comprise one or more of the following: dashed lines representing demarcation of lanes for vehicles travelling in the same or opposite directions; and solid lines demarcating the legal edges of said road.
- said route tracking means is arranged for detection of either or both said dashed or solid lines. More preferably, said route tracking means is arranged to intelligently determine which road markers, or which combination thereof, to use depending, for example, on their detectability and corresponding accuracy of the detected road markers and corresponding determined safety of the resultant route tracking.
- detecting a single dashed line, or a combination of substantially parallel dashed lines is more accurate for a particular road or highway than detection of corresponding proximally positioned solid lines. This will also be the case, for example, when the solid lines are not present or, for various reasons, are more difficult to detect. It could also be that both the dashed and solid lines are difficult to detect at different times. In those situations, said route tracking means is arranged to intelligently decide to track said route using a combination of data from both types of said road markers.
- said tracking means further comprises road surface detection means arranged to detect a surface of said road.
- the road surface detection means is preferably used in combination with said road marker detection means. However, it could be used independently.
- said road surface detection means could be suitable for unsealed or sealed roads that do not comprise said road markers.
- said road surface detection means can be used to detect said extremities of said width of said road and also therefore a centre of said road. Until said GPS navigation and road mapping is suitably accurate this means of detecting said extremities of said width of said road is likely to be more accurate and suitable to safely position said self-drive vehicle on an appropriate side of said road.
- the road surface detection means could, for example, comprise any suitable detection means. It could, for example, comprise radar or optic sensors or any other sensors as described in relation to said road marker detection means.
- Another benefit of said road surface detection means is that it can be helpful in determining how far from a centre of said road said self-drive vehicle can be safely positioned without at least two of its wheels either running off a sealed road surface or moving too close to an edge of an unsealed road surface. This is important to safely increase the spacing between said self-drive vehicle and a centre of said road when it is passing oncoming vehicles to increase the corresponding margin for error. It is also important in the event of an incident that requires said self-drive vehicle to move toward the edge of said road, whether or not it is sealed or unsealed. Such an event could for example comprise an oncoming vehicle moving toward or partially across a centre of said road.
- said self-drive vehicle is preferably also arranged to alert the driver in such a situation to take control of said self-drive vehicle.
- the self-drive vehicle is preferably also arranged to rapidly but safely slow in such a situation, unless its driver overrides this safety feature.
- said route tracking means is arranged to indicate when said vehicle can be used in self-drive mode.
- said route tracking means is arranged to intelligently determine when accuracy of said route tracking is sufficient to enable safe operation of said vehicle in said self-drive mode.
- said route tracking means is preferably arranged to alert said driver when self-drive mode is no longer available and the driver is required to take control of said vehicle.
- the transition from said self-drive mode preferably comprises appropriate safety measures.
- said tracking means is preferably further arranged to detect whether said driver is appropriately controlling said vehicle and if not to rapidly but safely slow said vehicle to a stop.
- said self-drive vehicle of said one, other, still other and yet other aspects of the present invention further comprises other detection means for detecting one or more of
- said detection means is arranged to detect another vehicle, or person not housed within said vehicle, if their position relative to said self-drive vehicle is potentially dangerous to said self-drive vehicle or said other person.
- said detection means is arranged to warn of anything undesirable to provide an opportunity for a driver of said self-drive vehicle to override said route tracking means.
- traffic signal detection is known technology which uses for example radar or laser technology or a combination thereof in combination with GPS technology that notifies of approaching traffic signals.
- traffic signals particularly although not exclusively in the form of traffic lights, are alternatively or additionally detected, for example, via a signal emitted therefrom.
- said traffic signal detection means could comprise electromagnetic detection means which is arranged to detect an electromagnetic signal emitted from an
- electromagnetic emitting means of said traffic lights wherein said electromagnetic signal corresponds to the status of the lights e.g. RED, AMBER or GREEN.
- said predetermined route comprises following said road. Similarly, it may comprise following one or more lanes of a road. Said one or more lanes may comprise a lane of a divided or undivided road or highway.
- said predetermined route comprises a route entered into said vehicle's satellite navigation system. Preferably said predetermined route can be changed, either locally - for example by the driver or passenger - or remotely, at any stage along said predetermined route. Remote access preferably must be authorised from the vehicle's control system and more preferably for a period of time hence.
- said self-drive vehicle propelling means comprises wheels and a corresponding drive mechanism and a motor for driving said vehicle along said road.
- said self- drive vehicle propelling means could alternatively, for example, comprise thrusters or tracks.
- said self-drive vehicle also comprises steering means for steering said vehicle along said predetermined route.
- said self- drive vehicle propelling means comprises braking means.
- said propelling means comprises velocity and acceleration controlling means for respective control of the velocity and acceleration of said self-drive vehicle.
- a terminal computer for tracking a self-drive land vehicle corresponding to said one, other, still other and yet other aspects of the present invention.
- traffic can be more readily remotely managed to optimise traffic flow.
- a vehicle's driver can preferably override any such remote management.
- overriding would automatically occur at any time a driver takes control of the vehicle and doesn't drive it in self-drive mode.
- operation of a vehicle in self-drive mode enables it to be remotely driven in a manner which optimises traffic flow.
- optimisation can, for example, relate to a city or region of it, or a country or regions of a country.
- drivers can focus their attention to other matters, for example, personal or work related knowing that by allowing the vehicle to be remotely controlled they are contributing to traffic flow optimisation.
- Traffic flow optimisation could also, for example, be directed by relevant authorities with the exception of emergency or other unusual or high priority events of a driver of a vehicle in which case the driver is, for example, legally authorised to either take control of the vehicle so that it isn't driven in self-drive mode or instruct, via a vehicle's control system, that traffic flow optimisation isn't permitted.
- Figure 1 is a schematic diagram of one example of a self-drive land vehicle of the present invention.
- one example of a preferred embodiment of the present invention comprises a self-drive land vehicle in the form of a car ⁇ .
- Car 10 comprises radar detection means of the present invention in the form of radar 20 for sensing vehicles in the form of vehicles 30 and 40 or persons in the form of persons 50 and 60 which are either dangerously close to the car 10 or approaching the car 10 dangerously.
- the car 10 also comprises road surface detecting means of the present invention which in this particular example comprises combined LIDAR and radar 70 detection functionality for detecting a surface of a road of the present invention in the form of road surface 80.
- the LIDAR and radar 70 is also designed to detect anything, for example fallen rock, that may be obstructing the road 80.
- the car 10 also has radio wave detection of the present invention in the form of traffic light radio wave detectors 90.
- the detectors 90 are designed to detect signals emitted from traffic lights, for example traffic lights 100, that indicate whether the lights are signaling traffic to go or stop or prepare to stop.
- the car 10 further includes optical traffic signal detection means of the present invention in the form of cameras 105 for detecting, in combination with GPS navigation of the present invention, traffic signs, for example, STOP and GIVE WAY signs.
- a route tracking means of the car 10 in the form of a travel tracking system no enables the car 10 to travel along a predetermined route of the road 80 in the form of route 120.
- the travel tracking system no compares road data of the present invention relating to the route 120 which in this particular example comprises road survey data 130 with the position of the car 10 at any given point in time.
- This data 130 can be uploaded to the travel tracking system as a block or in real time.
- the data 130 maps extremities of the road and also its lanes. It also maps other features of the route 120, for example, an intersection and all other features of the route 120. It therefore comprises data similar to that of onboard navigation systems that are readily available and used.
- the data of the travel tracking system 110 is more comprehensive because it doesn't just confirm whether a vehicle is traveling on a particular road. If the survey data 130 is accurate enough the travel tracking system 110 directs travel of the car 10 and also travel along a particular path within the road 80, for example within a regular or overtaking lane.
- the car 10 also has vehicle propulsion means in the form of a motor 140 and drive shaft 150, and wheels 160 which are respective examples of the drive mechanism and wheels of the present invention.
- vehicle propulsion means in the form of a motor 140 and drive shaft 150
- wheels 160 which are respective examples of the drive mechanism and wheels of the present invention.
- Steering means of the present invention in the form of a steering wheel 170 and corresponding linkages (not shown) to front wheels 180 are also part of the car 10.
- Travel of the car 10 along the route 120 is enabled as follows.
- the travel tracking system 110 continuously updates the position of the car 10. It also continuously compares the position of the car 10 according to GPS navigation 135 with the road surveying data 130. Signals are sent from the travel tracking system 110 to the motor 140, drive shaft 150 and steering wheel 170 to drive the car 10 along the route 120.
- the travel tracking system 110 also comprises data relating to a desired, or recommended, velocity of travel and also acceleration.
- the travel tracking system 110 also receives data from the radar 20 and LIDAR and radar 70, radio wave detectors 90 and cameras 105, and makes decisions regarding travel of the car 10 based on this data. For example, the travel tracking system may receive data from the LIDAR and radar 70 indicating that the road 80 is obstructed ahead. The travel tracking system 110 immediately and rapidly slows the car 10 and also sounds an alert which indicates to the driver to become alert and take immediate control of the car 10. If the driver does not immediately take control of the car 10 it continues to slow to a stop. The car 10 also sounds similar alerts, for example, if signals from the radio wave detectors 20 and 70 are unclear. In those situations, the travel tracking system 110 will also immediately and rapidly slow the car 10.
- the travel tracking system 110 comprises said road marker detection means of the present invention.
- said road marker detection means comprises a LIDAR and image recognition lane marker detectors 200.
- These detectors 200 are designed, in accordance with one example of said reading of data of the present invention, to detect road markers of the present invention which in this particular example comprise lane markings 210.
- the lane markings 210 in accordance with typical road demarcation practices, demarcate extremities of the road 80 and also its lanes.
- the lane markings 210 consist of paint having a material designed for detection by the LIDAR and image recognition lane marker detectors 200. However, the markings could alternatively comprise any other material and the travel tracking system 110 corresponding means of detection for detecting the position of the lanes ahead of the car 10.
- the LIDAR and image recognition lane marker detectors 200 can readily be designed to accurately identify the location of the lane markings 210 a set distance in front of the car 10. This set distance can also be changed according to the speed that the car 10 is travelling at. This is similar to current technology, for example lights which increase in brightness as a vehicle's speed increases. These detectors can cost effectively and reliably be produced because they are designed to identify a single image, i.e. a lane marking. This is therefore different to optical sensors of, for example, the Google Inc. self-drive car which are required to scan and interpret any and all visually detectable images in front of or surrounding the corresponding vehicle.
- the travel tracking system 110 also includes LIDAR and image recognition road surface detectors 220 which are one example of road surface detector means of the present invention.
- the LIDAR and image recognition road surface detectors 220 detect the road surface 80. From the GPS navigation system 135 the travel tracking system 110 determines the available lanes of the road. For example, the travel tracking system 110 knows whether the road surface 80 stretching ahead of the car 10 is for vehicles travelling in a common direction or whether some lanes of the road surface 80 are designated for vehicles travelling in the opposite direction. For each longitudinal section of the road surface 80 the travel tracking system 110 then determines the available width of road.
- the travel tracking system 110 also compares data provided via the LIDAR and image recognition road surface detectors 220 with that of the LIDAR and image recognition lane marker detectors 200 and also that of the road survey data 130. Accuracy is also assigned to each of these data sets to enable the application of corresponding weightings.
- the car 10 could also comprise features of the Google Inc. self-drive car, either those already developed or being developed.
- the Google Inc. car could correspondingly comprise features of the car 10, either as the primary or secondary basis for determining velocity and acceleration. If used as a secondary basis features of the car 10 or those of the Google Inc. car could provide a fail-safe system.
- the route tracking means can be developed from currently available on-board navigation systems, road survey data or satellite imaging and radar and optic sensing technology that is either well established or relatively well established and also by the relevant industry.
- Optic detection technology of the present invention such as said road surface detection means is also relatively routine, repeatable and therefore reliable and safe. This technology is likely to be different, for example, to optic sensing or detection technology of the Google Inc. car. Optic sensing technology of that car is detecting thousands, millions or more visual images every second and each of those images could be vastly different.
- the optic detection, and other detection, technology of the present invention is designed to detect a very specific feature, for example the surface of a road or the line marking of such a road;
- robotic vision may not be necessary for self-drive land vehicles, at least not for most of those vehicles. Most land vehicles are travelling a road, one after the other, and those vehicles are aware of each other (whether self-drive or not) and if necessary are usually able to safely stop. Therefore, in a worst-case scenario that a self-drive vehicle is unable to interpret data that it is receiving from said sensing means, or incorrectly interprets it as a dangerous situation, the self-drive vehicle can simply simultaneously begin to slow and alert the driver. If the driver does not respond and take control the self-drive vehicle can rapidly but safely stop and most likely just cause traffic disruption.
- the self- drive vehicle of the present invention is therefore likely to be no worse than other vehicles either in terms of traffic disruption or safety. However, it is also likely to be an improvement over other vehicles because unlike some drivers, for example slow drivers, it is not likely to drive in a manner disruptive to traffic. It is also likely to reduce driver fatigue incidents, and accidents caused by human error;
- the car 10 can be used essentially entirely as a self-drive vehicle one of its main advantages may be to enable a driver to relax and not focus on driving the car 10 for part of a journey or even most of the journey. It is expected that this will provide very large productivity savings, in terms of relaxation while travelling but also because the driver is able to undertake work while driving a car that would otherwise not be possible;
- Driverless functionality is for the vast majority of the population most likely to be beneficial for long journeys. For short journeys that do not involve highway driving the majority of drivers may not be as interested in driverless functionality. Furthermore, a lot of drivers actually enjoy this type of driving. It is the long journeys that become boring and for which humans, due to them not being robotic in nature, typically aren't suitable.
- the present invention is therefore adapted for use of driverless functionality for purposes that probably appeal to the majority of drivers, and at a small fraction of the cost and complexity of self-drive vehicles like the Google Inc. car that are essentially primarily robotic vision controlled; and
- the car 10 may not comprise cameras 105 and instead may require driver input at an intersection not controlled by traffic lights, and possibly also one controlled by traffic lights if those lights do not emit a detectable signal.
- the car 10 may be equipped to take evasive action to attempt to avoid contact with another car or person.
- the rate of development of technology used in road surveying, satellite imaging and GPS navigation could make the use of said road markers redundant. This is because the cost of highly accurate forms of these forms of technology is likely to vastly reduce over a relatively short period of time.
- said road and lane markers comprise material other than paint that is more suitable for detection by said road marker means of the present invention.
- said road and lane markers comprise traditional road and lane markings painted on a surface of a sealed road.
- said road and lane markers comprise strips of material suitably fixed to a surface of a sealed or unsealed road. The strips are preferably further arranged or optimised for detection by said road marker detection means.
- the present invention comprises various forms of redundancy to enhance safety.
- one or more other features of the present invention can comprise more than one form of technology.
- safety can be optimised by determining which form of technology is more suitable and hence accurate for the present driving conditions.
- Driving conditions are continually changing and as such the suitability of technology can constantly be monitored and a vehicle's use of it can accordingly be adjusted, locally from within the vehicle or remotely.
- the present embodiments are, therefore, to be considered in all respects as illustrative and not restrictive.
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- Radar, Positioning & Navigation (AREA)
- Remote Sensing (AREA)
- General Physics & Mathematics (AREA)
- Electromagnetism (AREA)
- Multimedia (AREA)
- Automation & Control Theory (AREA)
- Theoretical Computer Science (AREA)
- Computer Networks & Wireless Communication (AREA)
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Abstract
Description
Claims
Applications Claiming Priority (2)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| AU2017903021 | 2017-07-31 | ||
| AU2017903021A AU2017903021A0 (en) | 2017-07-31 | Self-drive land vehicle |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| WO2019023747A1 true WO2019023747A1 (en) | 2019-02-07 |
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ID=65232090
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| PCT/AU2018/050797 Ceased WO2019023747A1 (en) | 2017-07-31 | 2018-07-31 | A self-drive land vehicle |
Country Status (1)
| Country | Link |
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| WO (1) | WO2019023747A1 (en) |
Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN111415513A (en) * | 2020-03-26 | 2020-07-14 | 公安部交通管理科学研究所 | Method, device and system for testing driving safety of automatic driving automobile |
| CN111829514A (en) * | 2020-06-29 | 2020-10-27 | 燕山大学 | A road condition preview method suitable for vehicle chassis integrated control |
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| US9684836B1 (en) * | 2013-07-31 | 2017-06-20 | Waymo Llc | Combining multiple estimates of an environment into a consolidated estimate for an autonomous vehicle |
| US20160180177A1 (en) * | 2014-12-23 | 2016-06-23 | Volkswagen Ag | Fused raised pavement marker detection for autonomous driving using lidar and camera |
| US20170008562A1 (en) * | 2015-02-10 | 2017-01-12 | Mobileye Vision Technologies Ltd. | Autonomous vehicle navigation based on recognized landmarks |
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| CN111415513B (en) * | 2020-03-26 | 2022-02-08 | 公安部交通管理科学研究所 | Method, device and system for testing driving safety of automatic driving automobile |
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