Patent Application
20240177537
The present disclosure relates to a system and a method of integrating an accident assistance identification and a scene establishment. More particularly, the present disclosure relates to a system and a method of integrating a traffic accident assistance identification and a safety of the intended functionality (SOTIF) scene establishment.
In the identification of current road traffic accident cause, the mode of the identification is usually to record the accident data to perform accident judgment by the police, and utilize a driving recorder for assisting. The police verify the accident history via large and complex data (e.g., transcripts, conditions of road, conditions of vehicle body, human injuries, marks on road surface, surveillance video, the driving recorder, etc.), so that there are time-consuming production of manual appraisal reports, high labor cost and easy concealment in the current accident. In addition, the number of autonomous vehicles is increasing, but there are limitations in system functions of the autonomous vehicles, so that behaviors of the autonomous vehicles in some cases are different from initial expectations, and the main cause of the accident cannot be clarified after the accident occurs. Therefore, a system and a method of integrating a traffic accident assistance identification and a safety of the intended functionality scene establishment which are capable of automatically generating the accident assistance identifying data effectively and quickly, reducing the labor cost and clarifying the main cause of the accident are commercially desirable.
According to one aspect of the present disclosure, a system of integrating a traffic accident assistance identification and a safety of an intended functionality scene establishment is applied to a vehicle. The system of integrating the traffic accident assistance identification and the safety of the intended functionality (SOTIF) scene establishment includes an on-board diagnostic (OBD) device, a digital video recorder (DVR), a controller and a cloud computing processing unit. The on-board diagnostic device is disposed on the vehicle and captures an on-board diagnostic data. The digital video recorder is disposed on the vehicle and captures a digital video data. The controller is disposed on the vehicle and generates a control data. The cloud computing processing unit is signally connected to the on-board diagnostic device, the digital video recorder and the controller. The cloud computing processing unit is configured to perform an accident data collecting step, a data analyzing step, an identifying data automatically generating step and a scene database establishing step. The accident data collecting step includes configuring the cloud computing processing unit to collect the on-board diagnostic data, the digital video data and the control data from the on-board diagnostic device, the digital video recorder and the controller. The data analyzing step includes configuring the cloud computing processing unit to analyze the on-board diagnostic data, the digital video data and the control data to generate an accident record message and an action confirmation message, and the accident record message includes a vehicle behavior message and a driving intention message. The identifying data automatically generating step includes configuring the cloud computing processing unit to automatically generate an accident assistance identifying data according to the vehicle behavior message, the driving intention message and the action confirmation message, and the accident assistance identifying data includes an accident scene picture and a behavioral characteristic report. The scene database establishing step includes configuring the cloud computing processing unit to establish an accident scene database according to the action confirmation message. The accident scene database includes a SOTIF scene.
According to another aspect of the present disclosure, a method of integrating a traffic accident assistance identification and a safety of an intended functionality scene establishment is applied to a vehicle. The method of integrating the traffic accident assistance identification and the safety of the intended functionality (SOTIF) scene establishment includes performing an accident data collecting step, a data analyzing step, an identifying data automatically generating step and a scene database establishing step. The accident data collecting step includes configuring a cloud computing processing unit to collect an on-board diagnostic data, a digital video data and a control data from an on-board diagnostic (OBD) device, a digital video recorder (DVR) and a controller. The data analyzing step includes configuring the cloud computing processing unit to analyze the on-board diagnostic data, the digital video data and the control data to generate an accident record message and an action confirmation message, and the accident record message includes a vehicle behavior message and a driving intention message. The identifying data automatically generating step includes configuring the cloud computing processing unit to automatically generate an accident assistance identifying data according to the vehicle behavior message, the driving intention message and the action confirmation message, and the accident assistance identifying data includes an accident scene picture and a behavioral characteristic report. The scene database establishing step includes configuring the cloud computing processing unit to establish an accident scene database according to the action confirmation message. The accident scene database includes a SOTIF scene.
The present disclosure can be more fully understood by reading the following detailed description of the embodiment, with reference made to the accompanying drawings as follows:
The embodiment will be described with the drawings. For clarity, some practical details will be described below. However, it should be noted that the present disclosure should not be limited by the practical details, that is, in some embodiment, the practical details is unnecessary. In addition, for simplifying the drawings, some conventional structures and elements will be simply illustrated, and repeated elements may be represented by the same labels.
It will be understood that when an element (or device) is referred to as be “connected to” another element, it can be directly connected to the other element, or it can be indirectly connected to the other element, that is, intervening elements may be present. In contrast, when an element is referred to as be “directly connected to” another element, there are no intervening elements present. In addition, the terms first, second, third, etc. are used herein to describe various elements or components, these elements or components should not be limited by these terms. Consequently, a first element or component discussed below could be termed a second element or component.
Reference is made to
In one embodiment (refer to
The cloud computing processing unit 510 may be a processor, a microprocessor, an electronic control unit (ECU), a computer, a mobile device processor or another computing processor, but the present disclosure is not limited thereto. The cloud computing processing unit 510 can perform a method of integrating the traffic accident assistance identification and the SOTIF scene establishment. Moreover, the cloud memory 520 may be a random access memory (RAM) or another type of dynamic storage device that stores information, messages and instructions for execution by the cloud computing processing unit 510, but the present disclosure is not limited thereto.
Reference is made to
Therefore, the system 100 and the method S0 of integrating the traffic accident assistance identification and the SOTIF scene establishment of the present disclosure not only can generate the accident assistance identifying data 516 effectively and quickly, and reduce labor cost, but also can clarify the main cause of the accident.
Reference is made to
The accident judging step S20 is “Occurring accident”, and includes configuring the cloud computing processing unit 510 to receive an accident action message 511 of the vehicle 110 to generate an accident judgment result, and the accident judgment result represents that the vehicle 110 has an accident at an accident time. In one embodiment, the accident action message 511 includes at least one of an airbag operation message, an acceleration sensor sensing message and a sensor failure message. The airbag operation message represents a message generated by deployment of the airbag of the vehicle 110. The acceleration sensor sensing message represents a message generated by action of an acceleration sensor (G-sensor). The action represents that a sensing value of the acceleration sensor is greater than a predetermined value. The sensor failure message represents a message generated by the failure of the sensor, but the present disclosure is not limited thereto.
The accident data collecting step S22 is “Collecting data”, and includes configuring the cloud computing processing unit 510 to collect an on-board diagnostic data 210, a digital video data 310 and a control data 410 from an on-board diagnostic device 200, a digital video recorder 300 and a controller 400. In detail, the cloud computing processing unit 510 collects the on-board diagnostic data 210 of the on-board diagnostic device 200, the digital video data 310 of the digital video recorder 300 and the control data 410 of the controller 400 when the vehicle 110 has an accident (i.e., the accident time). The on-board diagnostic data 210 includes at least one of a vehicle load, a rotational speed, a vehicle speed, a throttle position, an engine running time, a braking signal, a steering wheel angle, a tire pressure, a vehicle horn signal, a global positioning system (GPS) location and an emergency warning light signal. The digital video data 310 may have a frame rate (e.g., one frame per second). The controller 400 includes one of an autonomous driving system (ADS), an advanced driver assistance system (ADAS) and an electronic control unit (ECU). The control data 410 includes at least one of an electronic control unit voltage (i.e., ECU voltage), a state of charge (SOC), a lateral error, a longitudinal error, a LIDAR signal, a radar signal, a diagnostic signal, a steering wheel signal, an electric/throttle signal, an intervention event cause, an emergency button signal and a vehicle body signal.
The data analyzing step S24 includes configuring the cloud computing processing unit 510 to analyze the on-board diagnostic data 210, the digital video data 310 and the control data 410 to generate an accident record message 512 and an action confirmation message 514, and the accident record message 512 includes a vehicle behavior message 512a and a driving intention message 512b. In detail, the vehicle behavior message 512a includes at least one of a meandering behavior, an overspeeding behavior, a rapid acceleration and deceleration behavior and a red light running behavior. The driving intention message 512b includes one of a manual driving signal and an autonomous driving signal. For example, when the vehicle behavior message 512a is that the front of the vehicle 110 is swaying left and right (i.e., the meandering behavior), the on-board diagnostic data 210 is the steering wheel angle. When the vehicle behavior message 512a is a sudden increase or decrease of acceleration and deceleration (i.e., the rapid acceleration and deceleration behavior), the on-board diagnostic data 210 is the change of the throttle position, a fuel injection quantity signal, and the change of a throttle pedal signal and a brake signal. When the vehicle behavior message 512a is a steering behavior of the vehicle 110, the on-board diagnostic data 210 is an action signal of a turn lamp. In addition, the data analyzing step S24 may analyze the cause of each of scenes (Analyzing HW/SW failure) for subsequent judgment. “HW” represents a cause of hardware, and “SW” represents a cause of software.
The identifying data automatically generating step S26 includes configuring the cloud computing processing unit 510 to automatically generate an accident assistance identifying data 516 according to the vehicle behavior message 512a, the driving intention message 512b and the action confirmation message 514, and the accident assistance identifying data 516 includes an accident scene picture 516a and a behavioral characteristic report 516b. In detail, the accident scene picture 516a may include an accident time, an accident location and a summary message of on-site treatment. The behavioral characteristic report 516b may include an accident cause (a preliminary judgment form), an environmental condition at the accident time (weather, a sign), an accident history (assessment report) and an accident analysis. The accident analysis includes at least one of a driving behavior, a corroborating data, an ownership of right of way and a legal basis. Table 1 lists the relationship of message items, corresponding contents and hardware devices of the accident assistance identifying data 516. In Table 1, the accident time, the accident location and the summary message of on-site treatment of the accident assistance identifying data 516 are provided by the on-board diagnostic device 200 and the digital video recorder 300. The environmental condition at the accident time of the accident assistance identifying data 516 is provided by the digital video recorder 300. The accident cause, the accident history and the accident analysis of the accident assistance identifying data 516 are provided by the on-board diagnostic device 200, the digital video recorder 300 and the controller 400.
The scene database establishing step S28 includes configuring the cloud computing processing unit 510 to establish an accident scene database 518 according to the action confirmation message 514. The accident scene database 518 includes a SOTIF scene 518a. Therefore, the method S2 of integrating the traffic accident assistance identification and the SOTIF scene establishment can timely provide the real-time data of the vehicle 110 via the on-board diagnostic device 200, the digital video recorder 300, the controller 400, the roadside equipment 610 and the road sign 620 to perform a simple reconstruction of the accident when the accident occurs. The simple reconstruction of the accident focuses on a vehicle state, a driving intention and a weather condition at the accident time to clarify system failures, mechanical failures or false actions of human, and provides forensic personnel for evaluation. In addition, the present disclosure can assist the controller 400 (ADS/ADAS) to clarify the cause of the accident and collect the SOTIF scene 518a to provide strategies of technical improvement, thereby increasing the application level and improving the marketability. Accordingly, the present disclosure can solve the problem of conventional technique that is time-consuming production of manual appraisal reports, high labor cost, easy concealment and unclear main causes of the accident after the accident of the vehicle 110 occurs.
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It is understood that the methods S0, S2 of integrating the traffic accident assistance identification and the SOTIF scene establishment of the present disclosure are performed by the aforementioned steps. A computer program of the present disclosure stored on a non-transitory tangible computer readable recording medium is used to perform the methods S0, S2 described above. The aforementioned embodiments can be provided as a computer program product, which may include a machine-readable medium on which instructions are stored for programming a computer (or other electronic devices) to perform a process based on the embodiments of the present disclosure. The machine-readable medium can be, but is not limited to, a floppy diskette, an optical disk, a compact disk-read-only memory (CD-ROM), a magneto-optical disk, a read-only memory (ROM), a random access memory (RAM), an erasable programmable read-only memory (EPROM), an electrically erasable programmable read-only memory (EEPROM), a magnetic or optical card, a flash memory, or another type of media/machine-readable medium suitable for storing electronic instructions. Moreover, the embodiments of the present disclosure also can be downloaded as a computer program product, which may be transferred from a remote computer to a requesting computer by using data signals via a communication link (such as a network connection or the like).
According to the aforementioned embodiments and examples, the advantages of the present disclosure are described as follows.
1. The system and the method of integrating the traffic accident assistance identification and the SOTIF scene establishment of the present disclosure can timely provide the real-time data of the vehicle via the on-board diagnostic device, the digital video recorder, the controller, the roadside equipment and the road sign to perform a simple reconstruction of the accident when the accident occurs. The simple reconstruction of the accident focuses on a vehicle state, a driving intention and a weather condition at the accident time to clarify system failures, mechanical failures or false actions of human, and provides forensic personnel for evaluation.
2. The system and the method of integrating the traffic accident assistance identification and the SOTIF scene establishment of the present disclosure can assist the controller (ADS/ADAS) to clarify the cause of the accident and collect the SOTIF scene to provide strategies of technical improvement, thereby increasing the application level and improving the marketability. Moreover, the present disclosure can solve the problem of conventional technique that is time-consuming production of manual appraisal reports, high labor cost, easy concealment and unclear main causes of the accident after the accident of the vehicle occurs.
3. The system and the method of integrating the traffic accident assistance identification and the SOTIF scene establishment of the present disclosure can record driving history messages in detail via equipment on the vehicle, thereby not only clarifying the responsibility for the accident, simplifying the procedure for collecting evidence and reducing labor cost, but also providing the action state of the vehicle in the accident for the competent authorities and the vehicle manufacturer as reference.
Although the present disclosure has been described in considerable detail with reference to certain embodiments thereof, other embodiments are possible. Therefore, the spirit and scope of the appended claims should not be limited to the description of the embodiments contained herein.
It will be apparent to those skilled in the art that various modifications and variations can be made to the structure of the present disclosure without departing from the scope or spirit of the disclosure. In view of the foregoing, it is intended that the present disclosure cover modifications and variations of this disclosure provided they fall within the scope of the following claims.
