TWI870094B - Vehicle warning system and method thereof - Google Patents

Abstract

A vehicle warning system includes an image module, a processing module, and a warning module. The image module is configured to capture a front image of an implemented vehicle. The processing module is configured to identify the front image to obtain a front car number and to determine whether the front car number is a blacklist car number. When determining that the front car number is the blacklist car number, the processing module obtains a violation record of the front car number. The processing module determines whether there is a first major violation item whose total violation number reaches a first preset number in a plurality of major violation items of the violation record. When determining that there is at least one first major violation item in the plurality of major violation items, the processing module generates first suggestion information according to the at least one first major violation item. The warning module is configured to issue a first driving suggestion to the driver of the implemented vehicle according to the first suggestion information.

Description

Vehicle warning system and method

The present invention relates to a warning system and a method thereof, and in particular to a vehicle warning system and a method thereof which can provide a driver with driving advice to prevent bad driving in the surrounding area in advance.

In recent years, there are more and more vehicles on the road. Although some drivers obey traffic rules when driving on the road, they may encounter other dangerous vehicles that commit serious violations. Some drivers even develop some serious driving habits without knowing it. These serious violators are likely to increase traffic risks and cause traffic accidents, and even cause other normal drivers to lose their lives.

In one embodiment, a vehicle warning system includes an image module, which is installed in an implementation vehicle and used to capture a front image. A processing module, which is installed in the implementation vehicle and used to identify the front image to obtain a front vehicle number, and the processing module determines whether the front vehicle number is a blacklist vehicle number, wherein when the front vehicle number is determined to be the blacklist vehicle number, the processing module obtains a violation record of the front vehicle number, wherein the violation record includes a plurality of major violation items, and the processing module determines whether there is at least a first major violation item among the major violation items. , wherein the first major violation item is the major violation item whose total number of violations reaches a first preset number of times, and when it is determined that there is at least one first major violation item among the major violation items, the processing module generates a first suggestion information according to at least one first major violation item, and a warning module is set in the implementation vehicle and is used to issue a first driving suggestion to a driver of the implementation vehicle according to the first suggestion information.

In one embodiment, a vehicle warning method includes photographing the front of a vehicle to generate a front image, identifying the front image to obtain a front vehicle number, determining whether the front vehicle number is a blacklist vehicle number, and obtaining a violation record of the front vehicle number when the front vehicle number is determined to be the blacklist vehicle number, wherein the violation record includes a plurality of major violation items, and determining whether the major violation items are Whether there is at least one first major violation item, wherein the first major violation item is the major violation item whose total violation number reaches a first preset number of times, when it is determined that there is at least one first major violation item among the major violation items, a first suggestion information is generated based on the at least one first major violation item, and a first driving suggestion is issued to a driver of the implementation vehicle based on the first suggestion information.

In summary, the vehicle warning system and method of any embodiment, when the processing module determines that the vehicle number in front is a blacklist vehicle number, further determines whether the total number of violations of any major violation item in its violation record has reached a first preset number of times. When it is determined that there are major violation items that have reached the first preset number of times, the processing module will cause the warning module to issue a corresponding first driving suggestion to the driver of the implementing vehicle to remind the driver of bad driving around him. In this way, the driver can perform corresponding driving or pay attention according to the first driving suggestion to learn about or avoid potential dangerous driving around, thereby improving driving safety.

The detailed features and advantages of the present invention are described in detail in the following implementation mode, and the content is sufficient to enable anyone familiar with the relevant technology to understand the technical content of the present invention and implement it accordingly. Moreover, according to the content disclosed in this specification, the scope of the patent application and the drawings, any person familiar with the relevant technology can easily understand the relevant purposes and advantages of the present invention.

In order to make the above-mentioned objects, features and advantages of the embodiments of the present invention more clearly understood, the following is a detailed description with reference to the accompanying drawings.

It should be understood that the word "comprising" used in this specification is used to indicate the existence of specific technical features, values, method steps, operation processes, elements and/or components, but does not exclude the addition of more technical features, values, method steps, operation processes, elements, components, or any combination of the above.

FIG. 1 is a block diagram of an embodiment of a vehicle warning system 100, and FIG. 2 is a flow chart of an embodiment of a vehicle warning method. Please refer to FIG. 1 and FIG. 2. The vehicle warning system 100 is applicable to an implementation of vehicle CT, and can execute the vehicle warning method of any embodiment. In some embodiments, the vehicle warning system 100 includes an image module 110, a processing module 120, and a warning module 130. The image module 110, the processing module 120, and the warning module 130 are arranged in the implementation of vehicle CT, and the processing module 120 is coupled to the image module 110 and the warning module 130. In addition, the vehicle warning system 100 may further include a remote server 140, and the remote server 140 is communicatively connected to the processing module 120. It is worth noting that, in order to clearly illustrate the present invention, FIG. 1 of the present invention is a simplified block diagram, which only shows the components related to the present invention. Those familiar with the art should understand that the vehicle warning system 100 may include other components for providing specific functions.

In some embodiments, the processing module 120 can be connected to the remote server 140 in communication and receive a blacklist L1 from the remote server 140 (step S10). The blacklist L1 includes a plurality of blacklist vehicle numbers and a violation record corresponding to each blacklist vehicle number. In addition, the vehicle warning system 100 further includes a memory module 150. The memory module 150 is coupled to the processing module 120, and the processing module 120 can store the blacklist L1 in the memory module 150.

In some embodiments, the remote server 140 may periodically send the updated blacklist L1 to the processing module 120. In some embodiments, the processing module 120 may be connected to the remote server 140 via a wireless communication method such as, but not limited to, Long Term Evolution (LTE). In addition, the memory module 150 may be implemented by one or more storage elements, and each storage element may be, but not limited to, a non-volatile memory such as a read-only memory (ROM) or a flash memory or a volatile memory such as a random access memory (RAM).

In some embodiments, the image module 110 is used to continuously capture the front of the vehicle where the vehicle CT is being performed to generate a front image I1 (step S20). In other words, the front image I1 is a dynamic image that can present the environment in front of the vehicle where the vehicle CT is being performed. In some embodiments, the image module 110 can be implemented by, but is not limited to, a digital video recorder (DVR).

In some embodiments, the processing module 120 receives the front image I1 from the image module 110, and uses image recognition technology to identify the front image I1 to identify at least one front vehicle number N1 from the front image I1 (step S30). In some embodiments, the processing module 120 can be implemented by, but not limited to, a vehicle host. In addition, the processing module 120 can be an embedded controller (EC), a system on a chip (SoC), a central processing unit (CPU), a microcontroller (MCU), an application specific integrated circuit (ASIC), an application processor (AP), a digital signal processor (DSP), a programmable logic device (PLD), or any other suitable electronic component.

In some embodiments, the processing module 120 can identify a plurality of vehicle license plate numbers that appear in a specific range in front of the front of the vehicle implementing vehicle CT, namely, the front vehicle license plate number N1. In some embodiments, the specific range can roughly correspond to the viewing angle of 120-140 degrees of the camera of the image module 110 and the working range constructed by the distance of 10 to 15 meters in front of the front of the vehicle implementing vehicle CT, but is not limited thereto.

In some embodiments, the processing module 120 may extract features from the front image I1 to identify the license plate area containing the front license plate from the front image I1 and identify the front vehicle number N1 in each license plate area. In some embodiments, after identifying the front vehicle number N1 in each license plate area, the processing module 120 may bind each front vehicle number N1 to a corresponding number and mark each number in the corresponding license plate area in the front image I1. Here, each number moves accordingly as the corresponding license plate area moves in the front image I1. In this way, the processing module 120 can continuously track the movement of the license plate by marking the number in the license plate area without continuously identifying the content of the license plate, thereby reducing the excessive concentration of computing power and achieving reasonable allocation of device computing power. In some implementations, when a license plate area disappears from the front image I1 (for example, because the corresponding front license plate leaves the specific range captured by the image module 110), the number marked in the license plate area will also disappear accordingly, while the number value marked in the remaining license plate area can remain unchanged. However, the present case is not limited to this. In other implementations, the number values marked in the remaining license plate area can be renumbered in a complementary manner. For example, when the original number values marked in the remaining license plate area are 1, 2, 4, and 5, respectively, the processing module 120 can renumber these number values to 1, 2, 3, and 4 (that is, the original number 4 is changed to number 3 and the original number 5 is changed to 4).

For the sake of simplicity, the following description is given by taking the example that the processing module 120 obtains a front vehicle number N1 from the front image I1, but the number of the front vehicle numbers N1 is not limited thereto.

In some embodiments, after obtaining the vehicle number N1 ahead, the processing module 120 determines whether the obtained vehicle number N1 ahead is a vehicle number on a blacklist L1 (step S40).

FIG3 is a flow chart of an embodiment of step S40. Please refer to FIG1 to FIG3. Specifically, the processing module 120 can search and compare the front vehicle number N1 from the plurality of blacklist vehicle numbers in the blacklist L1 (step S41) to confirm whether the front vehicle number N1 is a certain blacklist vehicle number. When a certain blacklist vehicle number is found in the blacklist L1 that is exactly the same as the front vehicle number N1, the processing module 120 will determine that the front vehicle number N1 is a blacklist vehicle number (step S42), and will obtain the violation record of the front vehicle number N1 from the blacklist L1 (step S50). On the contrary, when a blacklist vehicle number identical to the vehicle number N1 in front is not found in the blacklist L1, the processing module 120 determines that the vehicle number N1 in front is not a blacklist vehicle number (step S43), and ends the determination of the vehicle number N1 in front. In some embodiments, after the determination of the vehicle number N1 in front is completed, the processing module 120 may continue to determine another vehicle number N1 in front and/or return to execute step S30 to re-identify the front image I1 to obtain another vehicle number N1 in front.

In some embodiments, the violation record may include multiple major violation items, a total number of violations corresponding to each major violation item, and a historical violation section corresponding to each major violation item. In some embodiments, multiple major violation items may include but are not limited to the main accident behavior patterns that cause Class A1 traffic accidents as statistically announced by government agencies. For example, multiple major violation items may include continuous lane changes (snaking), continuous emergency braking, serious speeding, continuous switching of more than two lanes, reversing at the ramp entrance, etc. Below, Table 1 is an example of a violation record corresponding to a front vehicle number N1.

Table 1 Major violations Historical illegal sections Number of violations Total violations Continuous lane change Section 3, Zhongxiao East Road 5 8 Linsen North Road 3 Short continuous emergency braking Xinyi Road Section 2 3 3 Severe speeding Section 3, Zhongxiao East Road 2 5 Civic Avenue Section 4 1 Xibin Expressway Northbound 150.9 km 2 Continuously switch more than two channels without 0 0 Failure to follow the vehicle in front of you at a safe distance consistent with your current speed Dunhua South Road Section 2 2 5 Go south on National Highway 1 for 47 km - Airport System 3 Reversing at the ramp area National Highway 3 Tongxiao Interchange Ramp 2 2

In some embodiments, after obtaining the violation record of the preceding vehicle number N1, the processing module 120 determines whether there is a major violation item among these major violation items in the violation record whose total violation count reaches a first preset number of times (hereinafter, the major violation item whose total violation count reaches the first preset number of times is referred to as the first major violation item) (step S60). Here, when it is determined that there is at least one first major violation item among these major violations, the processing module 120 generates first suggestion information D1 according to the at least one first major violation item (step S70), and outputs the first suggestion information D1 to the warning module 130, so that the warning module 130 issues a first driving suggestion G1 to the driver who performs vehicle CT according to the first suggestion information D1 (step S80). On the contrary, if it is determined that there is no first major violation item among these major violations, the processing module 120 does not generate the first suggestion information D1 (step S90).

In some embodiments, the first suggestion information D1 may include at least one first major violation item, and the first driving suggestion G1 may include a suggested driving behavior corresponding to the at least one first major violation item. For example, when the first suggestion information D1 includes continuous lane change, the corresponding first driving suggestion G1 may include a reminder to the driver that the road ahead is changing and the driver should ensure a safe buffer distance with the vehicle ahead. In addition, when the first suggestion information D1 includes serious speeding, the corresponding first driving suggestion G1 may include a reminder to the driver to stay in the current lane and drive within the speed limit.

In some embodiments, when the first major violation item is a specific major violation item, the processing module 120 may further perform a position identification on the front image I1 according to the major violation item, and generate corresponding first suggestion information D1 according to the major violation item and the result of its position identification. Here, the first suggestion information D1 may include at least one first major violation item and the result of its position identification, and the first driving suggestion G1 includes a suggested driving behavior corresponding to at least one first major violation item.

For example, when the first major violation item is short-term continuous emergency braking, it means that the driver corresponding to the front vehicle number N1 is more likely to be stimulated and produce a targeted and extreme behavior of short-term continuous emergency braking. The processing module 120 can perform position recognition on the front image I1 to identify whether the front vehicle corresponding to this blacklist single vehicle number is in the same lane as the implementing vehicle CT. Here, when the result of position recognition is that it is in the same lane, the corresponding first driving suggestion G1 can include prompting the driver to increase the safe distance before and after changing lanes if overtaking is required, and pay attention to the switching timing. When the result of the position recognition is that the vehicle is located in a different lane, the corresponding first driving suggestion G1 may include prompting the driver to maintain an appropriate speed, stay in the current lane, and pay attention to the road conditions ahead.

For another example, when the first major violation item is continuous switching of more than two lanes, the processing module 120 can perform position identification on the front image I1 to identify whether the front vehicle corresponding to the blacklisted single vehicle number is located in the left front lane or the right front lane where the vehicle CT is implemented. Here, when the result of the position identification is located in the left front lane, the corresponding first driving suggestion G1 may include prompting the driver to pay attention to the movement of the vehicle in the left front lane. When the result of the position identification is located in the right front lane, the corresponding first driving suggestion G1 may include prompting the driver to pay attention to the movement of the vehicle in the right front lane.

For another example, when the first major violation is reversing at the ramp entrance area, the processing module 120 can perform position recognition on the front image I1 to identify whether the front vehicle corresponding to the blacklisted single number is located in the adjacent lane of the ramp exit deceleration lane, or in the trough line range corresponding to the ramp exit deceleration lane. Here, when the result of the position recognition is any of the above positions, the corresponding first driving suggestion G1 may include prompting the driver to pay attention to the lane conditions adjacent to the ramp if there is no plan to exit the ramp, and to keep at least one lane distance.

It should be noted that the state of the first driving suggestion G1 is not limited to the above. In other embodiments, the first driving suggestion G1 may also include a preventive reminder corresponding to at least one first major violation. For example, when the first suggestion information D1 includes reversing in the ramp area, the corresponding first driving suggestion G1 may include reminding the driver that there are suspected habitual vehicles reversing in the ramp area around the current lane; when the first suggestion information D1 includes continuous switching of more than two lanes, the corresponding first driving suggestion G1 may include reminding the driver that there are suspected habitual vehicles switching more than two lanes around the current lane; when the first suggestion information D1 includes serious speeding, the corresponding The first driving suggestion G1 may include reminding the driver that there are suspected serious speeding offender vehicles around the current lane; by analogy, it is worth mentioning that the processing module 120 continues to identify the position of the front image I1. When the vehicle number N1 in front of the blacklisted vehicle number leaves the specific range captured by the image module 110, the processing module 120 responds to the previous first driving suggestion G1 and accordingly issues a release notification message to remind the driver that the potential risk is lifted.

In some embodiments, the first driving suggestion G1 may be a text message, and may be displayed to the driver on a dashboard, head-up display, or other display of the vehicle CT. In other embodiments, the first driving suggestion G1 may also be a voice message, and may be issued to the driver through an audio system of the vehicle CT, such as but not limited to a speaker, with corresponding warning words. In still other embodiments, the first driving suggestion G1 may also be a combination of the foregoing.

Specifically, taking the first preset number of times as 5 times and the violation records shown in Table 1 as an example, the processing module 120 will determine in step S60 that there are two first major violation items among these major violation items, namely, continuous lane change and serious speeding, and the processing module 120 will execute step S70 and generate the first suggestion information D1 to the warning module 130 based on the continuous lane change and serious speeding, so that the warning module 130 executes step S80 and issues a corresponding first driving suggestion G1 to the driver who implements the vehicle CT based on the first suggestion information D1. Here, in addition to the first driving suggestion G1 issued by the warning module 130, for example, prompting the driver that the road conditions ahead are changeable and the driver should ensure a safe buffer distance with the vehicle ahead and suggesting to maintain the current lane position, the processing module 120 can execute step S81 to output an image preservation signal, which indicates that the front image I1 recorded by the current image module 110 should be uploaded to an external device (such as a remote server) in advance or the front image I1 should be saved in a locked file until the front vehicle number N1 belonging to the blacklisted single vehicle number leaves the specific range captured by the image module 110.

FIG4 is a partial flow chart of an embodiment of a vehicle warning method. Please refer to FIG1 to FIG4. In some embodiments, the processing module 120 will also obtain a current road section where the vehicle CT is implemented (step S100). Specifically, the processing module 120 can obtain multiple coordinate points of the vehicle CT through the global positioning system (GPS), and obtain the current road section where the vehicle CT is implemented based on the tracks of these coordinate points on the electronic map. However, the present case is not limited to this. The processing module 120 can also transmit the obtained multiple coordinate points to the remote server 140, so that the remote server 140 returns the current road section to the processing module 120 after obtaining the current road section where the vehicle CT is implemented based on these coordinate points and the electronic map.

After obtaining the current road section where the vehicle CT is implemented, the processing module 120 determines whether the historical violation road sections corresponding to these major violation items in the violation record meet the current road section where the vehicle CT is implemented and whether the total number of violations does not reach the first preset number but reaches the second preset number that is less than the first preset number (hereinafter, the total number of violations does not reach the first preset number but reaches the second preset number and the historical violation road section includes the current road section where the vehicle CT is implemented is referred to as the second major violation item) (step S110). Here, the second preset number is a positive integer less than the first preset number. In some embodiments, the processing module 120 may determine whether there is at least one second major violation item based on at least one major violation item whose total violation count does not reach the first preset count (i.e., a major violation item that is not the first major violation item).

When it is determined that there is at least one second major violation item among these major violations, the processing module 120 generates second suggestion information D2 according to the at least one second major violation item (step S120), and outputs the second suggestion information D2 to the warning module 130, so that the warning module 130 issues a second driving suggestion G2 to the driver who performs vehicle CT according to the second suggestion information D2 (step S130). On the contrary, if it is determined that there is no second major violation item among these major violations, the processing module 120 does not generate the second suggestion information D2 (step S140).

In some embodiments, the second suggestion information D2 may include at least one second major violation item, and the second driving suggestion G2 includes a suggested driving behavior corresponding to the at least one second major violation item. In addition, when the second major violation item is a specific major violation item, the processing module 120 may further perform a position identification on the front image I1 based on the major violation item, and generate the corresponding second suggestion information D2 based on the major violation item and the result of its position identification. Here, the second suggestion information D2 may include at least one second major violation item and the result of its position identification, and the second driving suggestion G2 includes a suggested driving behavior corresponding to the at least one second major violation item. In other embodiments, the second driving suggestion G2 may include a preventive reminder corresponding to at least one second major violation. Here, since the second suggestion information D2 and its corresponding second driving suggestion G2 are substantially the same as the first suggestion information D1 and its corresponding first driving suggestion G1, they are not further described.

Specifically, taking the second preset number of times as 3 times, the current road section where the vehicle CT is implemented as Xinyi Road Section 2, and the violation records shown in Table 1 as an example, the processing module 120 will determine in step S110 that there is a second major violation item among these major violations, namely, short-term continuous emergency braking, and the processing module 120 will execute step S120 and generate second suggestion information D2 to the warning module 130 based on the short-term continuous emergency braking, so that the warning module 130 executes step S130 and issues a corresponding second driving suggestion G2 to the driver who implements the vehicle CT based on the second suggestion information D2. Here, the second driving suggestion G2 issued by the warning module 130 may, for example, remind the driver that there is a risk of short-term continuous emergency braking around the current road section, and if overtaking is required, the driver should increase the safe distance before and after changing lanes and pay attention to the switching timing.

It is worth mentioning that the processing module 120 can also be configured to output an image preservation signal as described above when at least one first major violation item and at least one second major violation item are simultaneously satisfied, so as to ensure the driving image within the time period until the leading vehicle with vehicle number N1 in front of the blacklisted single vehicle number leaves the specific range captured by the image module 110.

In some embodiments, after obtaining the violation record of the preceding vehicle number N1 (i.e., after executing step S50), the processing module 120 may first execute the judgment process for the first major violation item (i.e., execute steps S60-S90), and then execute the judgment process for the second major violation item (i.e., execute steps S100-S140). However, the present case is not limited to this, and the order of steps S60-S90 and steps S100-S140 may also be interchanged or executed simultaneously.

FIG5 is a partial flow chart of an embodiment of a vehicle warning method. Please refer to FIG1 and FIG5. In some embodiments, the processing module 120 also has a detection function, which can be always turned on. When this function is turned on, the processing module 120 executes a detection mechanism, and the detection mechanism can be executed after obtaining the front vehicle number N1 (for example, step S30). When executing the detection mechanism, the processing module 120 will obtain the road attribute corresponding to a current road section where the implementing vehicle CT is located, and detect whether the front vehicle corresponding to the front vehicle number N1 has committed at least one of a plurality of major violations based on the front image I1 and the road attribute (step S150).

Specifically, the processing module 120 may continuously perform image recognition on the front image I1, and after confirming the current road section where the implementing vehicle CT is currently located (or traveling), further obtain a road attribute corresponding to the road section, and determine whether the front vehicle corresponding to the front vehicle number N1 has made at least one of the multiple major violations corresponding to the road attribute based on the front image I1 and the road attribute. In some implementations, the road attribute may include general roads and highways. In addition, the multiple major violations corresponding to the road attribute of general roads may include continuous lane changes (snaking), continuous emergency braking, serious speeding, continuous switching of two or more lanes, and continuous failure to keep close to the vehicle in front at a safe distance corresponding to the current speed, while the multiple major violations corresponding to the road attribute of expressways may include continuous lane changes (snaking), continuous emergency braking, serious speeding, continuous switching of two or more lanes, continuous failure to keep close to the vehicle in front at a safe distance corresponding to the current speed, and reversing at the ramp entrance area. In other words, the multiple major violations corresponding to the road attribute of expressways include more reversing at the ramp entrance area than the multiple major violations corresponding to the road attribute of general roads.

For example, the processing module 120 can determine the road section based on the GPS coordinate information and electronic map in paragraph [0031] of this specification, and can also use image recognition to determine whether the current scene contained in the front image I1 includes facilities such as zebra crossings and traffic lights within a predetermined distance (for example, but not limited to 1 kilometer) at every confirmation time (for example, but not limited to 3 minutes), and determine whether the speed of the vehicle implementing the CT is maintained above a predetermined speed (for example, but not limited to 60 kilometers per hour), so as to confirm the road attributes where the vehicle implementing the CT is currently located. When the processing module 120 determines that the current scene does not include facilities such as zebra crossings and traffic lights within a predetermined distance and the speed of the vehicle implementing the CT is maintained above the predetermined speed, the processing module 120 will determine that the road attribute on which the vehicle implementing the CT is currently located is a highway, and determine based on the front image I1 whether the front vehicle corresponding to the front vehicle number N1 has made any major violations corresponding to the road attribute of the highway. When the processing module 120 determines that the current scene includes facilities such as zebra crossings or traffic lights within the predetermined distance and the vehicle speed of the vehicle CT is normally lower than the predetermined speed, the processing module 120 determines that the road attribute of the vehicle CT is currently located as a general road, and determines whether the front vehicle corresponding to the front vehicle number N1 has made a corresponding road attribute as a general road based on the front image I1. That is, it can assist in judging the traffic rules of the road where the vehicle CT is located according to different road attributes, such as speed limit, safe distance, etc., so as to confirm whether the vehicle in front of the front vehicle with license plate number N1 in front of the front of the vehicle CT has committed any major violation, such as serious speeding, or continuously not driving closely to the vehicle in front at a safe distance corresponding to the current speed.

In addition, the road attributes can be pre-stored in the memory module 150 in the vehicle warning system. Thus, when the processing module 120 confirms the current road section where the vehicle CT is located (or driving), the road attribute data about the current road section in the memory module 150 can be read and obtained accordingly.

In some embodiments of determining whether a major violation of continuous lane change (snaking) is made, the processing module 120 may determine whether the number of times the image of the front vehicle with the front vehicle number N1 enters and exits a monitoring area in the front image I1 within a preset time (for example, but not limited to 6 seconds) reaches a threshold value (for example, but not limited to 2 times) based on the front image I1. Here, when the number of times the image of the front vehicle in the front image I1 enters and exits the monitoring area within the preset time reaches the threshold value, the processing module 120 will determine that the front vehicle corresponding to the front vehicle number N1 has made a major violation of continuous lane change (snaking). In some implementations, the range of the monitoring area can be defined by the processing module 120 according to the extension lines of the two road markings presented in the front image I1. However, the present invention is not limited thereto, and the range of the monitoring area can also be defined by the processing module 120 according to a predetermined range setting.

In some embodiments of determining whether a major violation of reversing at a ramp entrance is made, the processing module 120 may use image recognition technology to identify whether the front vehicle of the front vehicle number N1 is located in an adjacent lane of a ramp entrance deceleration lane or in a corresponding grooved line range of the adjacent lane (for example, by identifying a large traffic sign and a corresponding lane marking to determine whether the front vehicle of the front vehicle number N1 is located in an adjacent lane of a ramp entrance deceleration lane, or in the range of a road surface groove line), and when it is confirmed that the implementing vehicle CT is located in one of them, determine the speed change of the implementing vehicle CT and the front vehicle of the front vehicle number N1 (for example, by using the front image in the image). The speed change between the two vehicles is calculated based on the degree of change over time of the pixel value of the front vehicle with vehicle number N1, and the speed change of the implementing vehicle CT itself is calculated based on the degree of change over time of the driving background pixel, thereby determining the relative change in the speeds of the front and rear vehicles). When the speed change of the implementing vehicle CT itself is less than a threshold value (for example, a change of 10%, indicating that the implementing vehicle CT does not have a sudden acceleration), and the ratio of the speed changes of the two vehicles meets a preset condition, or it is determined that the reversing lights of the front vehicle with vehicle number N1 are on, the processing module 120 will determine that the front vehicle corresponding to the front vehicle with vehicle number N1 has made a serious violation of reversing in the ramp entrance area.

In some embodiments, when the processing module 120 determines in step S150 that the front vehicle corresponding to the front vehicle number N1 has committed at least one of a plurality of major violations, the processing module 120 will generate a reminder message D3 to the warning module 130 based on the at least one major violation committed by the front vehicle number N1 identified by this detection function (step S160), and the warning module 130 will issue a corresponding attention warning A1 to the driver who implements vehicle CT based on the reminder message D3 (step S170). For example, when the reminder information D3 includes serious speeding and continuous switching of more than two lanes, the warning module 130 may issue a warning A1 to remind the driver that there is a vehicle ahead that is seriously speeding and continuously switching more than two lanes. When the processing module 120 determines in step S150 that no serious violation has been made, the processing module 120 may return to execute step S150 to continue tracking.

FIG6 is a partial flow chart of an embodiment of a vehicle warning method. Please refer to FIG1 and FIG6. In some embodiments, the processing module 120 also has a reporting function, and this reporting function can be always turned on. When this function is turned on, the processing module 120 executes a reporting mechanism, which includes when the processing module 120 determines in step S150 that the front vehicle corresponding to the front vehicle number N1 has made at least one of a plurality of major violations, the processing module 120 will A violation segment E1 corresponding to at least one major violation committed by the vehicle in front is extracted from image I1 (step S180), and the vehicle number N1 in front and its violation segment E1 are packaged into a violation data packet P1 and sent to the remote server 140 (step S190). The remote server 140 updates its blacklist L1 according to the violation data packet P1 (step S200).

In some embodiments, after receiving the violation data packet P1, the remote server 140 may further confirm whether the front vehicle corresponding to the front vehicle number N1 has actually made at least one major violation according to the violation segment E1, and update the blacklist L1 according to the confirmation result. Here, the confirmation mechanism of the remote server 140 may be substantially the same as the judgment mechanism of the processing module 120, so it will not be repeated.

Among them, when the remote server 140 updates the blacklist L1 according to the result of the violation segment E1 and the vehicle number N1 in front, the remote server 140 can then periodically transmit an updated blacklist L1 to the vehicle warning system 100. The processing module 120 of the vehicle warning system 100 searches for the vehicle number N1 in front from the updated blacklist L1 to determine whether the vehicle number N1 in front is the updated blacklist vehicle number. When the vehicle number N1 in front is found in the updated blacklist L1, it is determined that the vehicle number N1 in front is the blacklist vehicle number; when the vehicle number N1 in front is not found in the updated blacklist L1, it is determined that the vehicle number N1 in front is not the blacklist vehicle number.

In summary, the vehicle warning system 100 and method thereof of any embodiment utilizes the processing module 120 to further determine whether there is a major violation item in its violation record whose total violation count reaches a first preset number of times when determining that the vehicle number N1 in front is a blacklist vehicle number. When it is determined that there is a major violation item in the violation record whose total number of violations reaches the first preset number of times, the processing module 120 will cause the warning module 130 to issue a corresponding first driving suggestion G1 to the driver who implements the vehicle CT. In addition, if the first major violation item is not met but the conditions of the second major violation item are met, the processing module 120 will cause the warning module 130 to issue a corresponding second driving suggestion G2 to the driver who implements the vehicle CT to remind the driver that there is bad driving around him. In this way, the driver can perform corresponding driving or pay attention according to the first and second driving suggestions G1 and G2 to avoid potential dangerous driving, thereby improving driving safety. In addition, when it is determined based on the front image I1 that the front vehicle corresponding to the front vehicle number N1 has actually committed at least one major violation, the processing module 120 will cause the warning module 130 to issue a corresponding warning A1 to the driver who implements the vehicle CT, so as to inform the driver that there are indeed bad drivers around him who have committed major violations, thereby improving the trust between the driver and the vehicle warning system 100.

Although the technical content of the present invention has been disclosed as above with the preferred embodiments, it is not intended to limit the present invention. Any slight changes and modifications made by anyone skilled in the art without departing from the spirit of the present invention should be included in the scope of the present invention. Therefore, the protection scope of the present invention shall be subject to the scope defined by the attached patent application.

100: Vehicle warning system 110: Image module 120: Processing module 130: Warning module 140: Remote server 150: Memory module A1: Attention warning CT: Implementation vehicle D1: First suggestion information D2: Second suggestion information D3: Reminder information E1: Violation clip G1: First driving suggestion G2: Second driving suggestion I1: Front image L1: Blacklist N1: Front vehicle number P1: Violation data package S10~S200: Steps S41~S43: Steps

FIG. 1 is a block diagram of an embodiment of a vehicle warning system. FIG. 2 is a flow chart of an embodiment of a vehicle warning method. FIG. 3 is a flow chart of an embodiment of step S40. FIG. 4 is a partial flow chart of an embodiment of a vehicle warning method. FIG. 5 is a partial flow chart of an embodiment of a vehicle warning method. FIG. 6 is a partial flow chart of an embodiment of a vehicle warning method.

S10~S90: Steps

Claims (14)

A vehicle warning system includes: an image module, which is arranged on a vehicle for carrying out the vehicle, and is used to take a front image; a processing module, which is arranged on the vehicle for carrying out the vehicle, and is used to identify the front image to obtain a front vehicle number, and the processing module determines whether the front vehicle number is a blacklist vehicle number, wherein when the front vehicle number is determined to be the blacklist vehicle number, the processing module obtains a violation record of the front vehicle number, wherein the violation record includes a plurality of major violation items, and the processing module determines whether there is at least a first major violation item among the major violation items, wherein the first major violation item is a total violation item. The major violation item has a violation count that reaches a first preset number of times, and when it is determined that there is at least one first major violation item among the major violation items, the processing module generates a first suggestion information according to at least one first major violation item; and a warning module, which is disposed in the implementation vehicle and is used to issue a first driving suggestion to a driver of the implementation vehicle according to the first suggestion information; wherein the processing module is further used to communicate with a remote server to receive a blacklist from the remote server, and the blacklist includes the blacklist vehicle number and the violation record corresponding to the blacklist vehicle number. As described in claim 1, the vehicle warning system, wherein after obtaining the violation record, the processing module further determines whether there is at least one second major violation item among the major violation items, wherein the second major violation item is a major violation item in which a historical violation section corresponds to a current section including the implementing vehicle and the total number of violations does not reach the first preset number but reaches a second preset number less than the first preset number. When it is determined that there is at least one second major violation item among the major violation items, the processing module further generates a second suggestion information based on at least one second major violation item, and the warning module further issues a second driving suggestion to the driver of the implementing vehicle based on the second suggestion information. The vehicle warning system as described in claim 2, wherein if the processing module determines that the number of the first major violation items is plural or there are at least one first major violation item and at least one second major violation item at the same time, the processing module sends an image preservation signal. The vehicle warning system as described in claim 1 also has a detection function. When the detection function is turned on, the processing module obtains the corresponding road attribute according to the current road section where the implementing vehicle is located, and detects whether a front vehicle corresponding to the front vehicle number has made at least one of a plurality of major violations according to the front image and the road attribute. When it is determined that the front vehicle has made at least one of the major violations, the processing module generates a reminder message according to the at least one of the major violations made by the front vehicle, so that the warning module issues a warning to the driver of the implementing vehicle according to the reminder message. The vehicle warning system as described in claim 4 further has a reporting function. When the reporting function is turned on, the processing module determines that the vehicle in front has made at least one major violation according to the detection function. The processing module extracts a violation segment corresponding to the at least one major violation from the front image, and sends the violation segment and the vehicle number in front to the remote server. For the vehicle warning system as described in claim 4 or 5, when the road attribute is a highway, the processing module identifies whether the front vehicle is located in an adjacent lane of a ramp deceleration lane or a corresponding troughing line range of the adjacent lane based on the front image. If it is confirmed that the front vehicle is located in any of the above positions, the speed change of the implementing vehicle and the front vehicle is determined. When the speed change of the implementing vehicle is less than a threshold value and the ratio of the speed changes of the two vehicles meets a preset condition, or it is determined that the reversing lights of the front vehicle are on, the processing module determines that the front vehicle corresponding to the front license plate number meets the major violation of reversing at the ramp. As described in claim 5, the vehicle warning system, wherein the remote server updates the blacklist according to the violation clip and the vehicle number in front, and the processing module further receives an updated blacklist from the remote server, and searches for the vehicle number in front from the updated blacklist to determine whether the vehicle number in front is the updated blacklist vehicle number. A vehicle warning method comprises: receiving a blacklist from a remote server, wherein the blacklist comprises a blacklist vehicle number and a violation record corresponding to the blacklist vehicle number; photographing the front of an implementing vehicle to generate a front image; identifying the front image to obtain a front vehicle number; determining whether the front vehicle number is the blacklist vehicle number; and obtaining the violation record of the front vehicle number when determining that the front vehicle number is the blacklist vehicle number. The violation record comprises a plurality of a number of major violations; determining whether there is at least one first major violation among the major violations, wherein the first major violation is a major violation whose total number of violations reaches a first preset number; when determining that there is at least one first major violation among the major violations, generating a first suggestion information based on at least one first major violation; and issuing a first driving suggestion to a driver of the implementing vehicle based on the first suggestion information. The vehicle warning method as described in claim 8 further includes: obtaining a current road section where the implementation vehicle is currently located; determining whether there is at least one second major violation item among the major violation items, wherein the second major violation item is a major violation item whose total number of violations does not reach the first preset number but reaches a second preset number less than the first preset number; when it is determined that there is at least one second major violation item among the major violation items, generating a second suggestion information based on the at least one second major violation item; and issuing a second driving suggestion to the driver of the implementation vehicle based on the second suggestion information. The vehicle warning method as described in claim 9 further includes: if it is determined that the number of the first major violation items is plural or there are at least one first major violation item and at least one second major violation item at the same time, an image preservation signal is sent. The vehicle warning method as described in claim 8 further includes: when executing a detection mechanism, obtaining the corresponding road attribute according to a current road section where the implementing vehicle is located, and detecting whether a front vehicle corresponding to the front vehicle number has committed at least one of a plurality of major violations according to the front image and the road attribute; when determining that the front vehicle has committed at least one of the major violations, generating a reminder message according to the at least one of the major violations committed by the front vehicle; and issuing a warning to the driver of the implementing vehicle according to the reminder message. The vehicle warning method as described in claim 11 further comprises: when executing a reporting mechanism, when the detection mechanism determines that the vehicle in front has committed at least one major violation, extracting a violation segment corresponding to at least one major violation from the front image; and sending the violation segment and the vehicle number in front to the remote server. The vehicle warning method as described in claim 11 or 12 further includes: when the road attribute is a highway, the front image is used to identify whether the front vehicle is located in an adjacent lane of a ramp deceleration lane or a corresponding channeling range of the adjacent lane. If it is confirmed that the front vehicle is located in any of the above positions, the speed change of the implementing vehicle and the front vehicle is determined. When the speed change of the implementing vehicle is less than a threshold value and the ratio of the speed changes of the two vehicles meets a preset condition, or it is determined that the reversing lights of the front vehicle are on, the front vehicle corresponding to the front vehicle number is determined to meet the major violation of reversing at the ramp. The vehicle warning method as described in claim 12 further comprises: the remote server updates the blacklist according to the violation segment and the vehicle number in front; and receives an updated blacklist from the remote server; wherein the step of determining whether the vehicle number in front is the vehicle number in the blacklist comprises: searching the vehicle number in front from the updated blacklist to determine whether the vehicle number in front is the vehicle number in the updated blacklist.

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