Accident recording method and system

Abstract

An accident recording method implemented by an accident recording system, the accident recording system is suitable for being set in a vehicle, and the accident recording method comprises: the accident recording system determines whether the activity of the vehicle meets a collision condition based on an activity sensing data, and when the judgment result is yes, identifies a target object related to the collision condition from an environment sensing data, and generates and outputs an image data based on the environment sensing data, wherein the image data presents the relative position relationship between the vehicle and the target object within a critical period, and the critical period includes the time point when the collision condition is met.

Description

Technical Field

[0001] The present invention relates to an accident recording method, in particular to an accident recording method applicable to a vehicle, and also to an accident recording system capable of implementing the accident recording method. Background Art

[0002] In the prior art, after a traffic accident occurs, the police usually arrive at the scene to draw a road traffic accident scene map to record the scene of the traffic accident. However, the hand-drawn road traffic accident scene map can only present limited information. If there is no other data to assist in clarifying the details of the accident, the process of the accident and the relevant responsibilities may be difficult to clarify. Summary of the invention

[0003] The technical problem to be solved by the present invention is to provide an accident recording method which can help clarify the process of traffic accident occurrence.

[0004] To solve the above technical problems, the accident recording method of the present invention is implemented by an accident recording system suitable for being set in a vehicle, the accident recording system includes an activity sensing unit, an environment sensing unit and a processing unit, and the accident recording method includes the following steps: the processing unit determines whether the activity of the vehicle meets a collision condition based on activity sensing data generated by the activity sensing unit, and when the judgment result is yes, identifies a target object related to the collision condition and presented by the environment sensing data from environment sensing data generated by the environment sensing unit, and generates and outputs an image data at least based on the environment sensing data, wherein the image data at least presents the relative position relationship between the vehicle and the target object within a critical period, and the critical period includes the time point when the processing unit determines that the collision condition is met.

[0005] Preferably, the image data is a dynamic image presented from a top-down angle, and the image data at least dynamically presents the movement process of the vehicle and the target object within the critical period.

[0006] Preferably, the processing unit further calculates a distance parameter based on the environmental sensing data, wherein the distance parameter indicates a change in the distance between the vehicle and the target object within the critical period, and the image data also dynamically presents the distance parameter.

[0007] Preferably, the processing unit also obtains a first speed parameter corresponding to the vehicle, and calculates a second speed parameter corresponding to the target object based on the environmental sensing data, wherein the first speed parameter and the second speed parameter at least respectively indicate the moving speeds of the vehicle and the target object before the collision condition is met, and the image data also presents the first speed parameter and the second speed parameter.

[0008] Preferably, the environmental sensing unit includes a shooting module, and the environmental sensing data includes dynamic image data generated by the shooting module, and when the processing unit determines that the dynamic image data presents a traffic light, the image data generated by the processing unit also presents a signal icon corresponding to the traffic light, and the signal icon presents the light status of the traffic light during the critical period.

[0009] Preferably, the accident recording system stores an electronic map, a first icon corresponding to the vehicle, and a second icon corresponding to the target object, and the image data presents the relative position relationship between the vehicle and the target object within the critical period using the first icon and the second icon, and the image data also presents the current positions of the vehicle and the target object within the critical period using a key part of the electronic map.

[0010] Preferably, when the processing unit determines that the collision condition is met and the target object is another vehicle, the processing unit also determines at least one of a first turn signal light on / off state corresponding to the vehicle and a second turn signal light on / off state corresponding to the other vehicle, wherein the first turn signal light on / off state indicates whether the turn signal light of the vehicle is turned on within the critical period, the second turn signal light on / off state indicates whether the turn signal light of the other vehicle is turned on within the critical period, and the image data also indicates at least one of the first turn signal light on / off state and the second turn signal light on / off state.

[0011] Another technical problem to be solved by the present invention is to provide an accident recording system capable of implementing the accident recording method.

[0012] To solve the above-mentioned another technical problem, the accident recording system of the present invention comprises an activity sensing unit, an environment sensing unit and a processing unit electrically connected to the activity sensing unit and the environment sensing unit. The processing unit determines whether the activity of the vehicle meets a collision condition based on activity sensing data generated by the activity sensing unit, and identifies a target object related to the collision condition and presented by the environment sensing data from the environment sensing data generated by the environment sensing unit when the judgment result is yes, and generates and outputs an image data based on at least the environment sensing data, wherein the image data at least presents the relative position relationship between the vehicle and the target object within a critical period, and the critical period includes the time point when the processing unit determines that the collision condition meets.

[0013] Preferably, the image data is a dynamic image presented from a top-down angle, and the image data at least dynamically presents the movement process of the vehicle and the target object within the critical period.

[0014] Preferably, the processing unit further calculates a distance parameter based on the environmental sensing data, wherein the distance parameter indicates a change in the distance between the vehicle and the target object within the critical period, and the image data also dynamically presents the distance parameter.

[0015] Preferably, the processing unit also obtains a first speed parameter corresponding to the vehicle, and calculates a second speed parameter corresponding to the target object based on the environmental sensing data, wherein the first speed parameter and the second speed parameter at least respectively indicate the moving speeds of the vehicle and the target object before the collision condition is met, and the image data also presents the first speed parameter and the second speed parameter.

[0016] Preferably, the environmental sensing unit includes a shooting module, and the environmental sensing data includes dynamic image data generated by the shooting module, and when the processing unit determines that the dynamic image data presents a traffic light, the image data generated by the processing unit also presents a signal icon corresponding to the traffic light, and the signal icon presents the light status of the traffic light during the critical period.

[0017] Preferably, the accident recording system stores an electronic map, a first icon corresponding to the vehicle, and a second icon corresponding to the target object, and the image data presents the relative position relationship between the vehicle and the target object within the critical period using the first icon and the second icon, and the image data also presents the current positions of the vehicle and the target object within the critical period using a key part of the electronic map.

[0018] Preferably, when the processing unit determines that the collision condition is met and the target object is another vehicle, the processing unit also determines at least one of a first turn signal light on / off state corresponding to the vehicle and a second turn signal light on / off state corresponding to the other vehicle, wherein the first turn signal light on / off state indicates whether the turn signal light of the vehicle is turned on within the critical period, the second turn signal light on / off state indicates whether the turn signal light of the other vehicle is turned on within the critical period, and the image data also indicates at least one of the first turn signal light on / off state and the second turn signal light on / off state.

[0019] Compared to the prior art, the accident recording system of the present invention can identify the target object related to the collision condition from the environmental sensing data when it is determined that the collision condition is met, and then generate and output image data that can present the relative position relationship between the vehicle and the target object during the critical period. Thereby, when the vehicle has a collision accident, the accident recording system can reproduce the occurrence process of the collision accident in real time with image data for reference by the parties and investigators, so it can effectively assist in clarifying the details of the accident and can indeed improve the inconvenience of the prior art. BRIEF DESCRIPTION OF THE DRAWINGS

[0020] Other features and effects of the present invention will be clearly presented in the embodiments with reference to the accompanying drawings, in which:

[0021] Figure 1 is a block diagram of a first embodiment of an accident recording system of the present invention applied to a vehicle;

[0022] Figure 2 is a flow chart for exemplarily illustrating how the first embodiment implements an accident recording method; and

[0023] Figure 3 is a schematic diagram, exemplarily illustrating image data presented in a dynamic manner generated by implementing the accident recording method in the first embodiment. DETAILED DESCRIPTION

[0024] Before the present invention is described in detail, it should be noted that in the following description, similar components are represented by the same number. If not specifically defined, the "electrical connection" described in this patent specification generally refers to the "wired electrical connection" achieved by connecting multiple electronic devices / devices / components to each other through conductive materials, and the "radio connection" for single / bidirectional wireless signal transmission through wireless communication technology. In addition, if not specifically defined, the "electrical connection" described in this patent specification also generally refers to the "direct electrical connection" formed by directly connecting multiple electronic devices / devices / components to each other, and the "indirect electrical connection" formed by indirectly connecting multiple electronic devices / devices / components to each other through other electronic devices / devices / components.

[0025] See also Figure 1 A first embodiment of the accident recording system 1 of the present invention is suitable for being set in a vehicle 5. In the application of this embodiment, the vehicle 5 may be, for example, a small passenger car. However, in other applications of this embodiment, the vehicle 5 may also be, for example, a motorcycle, a truck or a large passenger car, and is not limited to the small passenger car exemplified in this embodiment.

[0026] In this embodiment, the accident recording system 1 includes, for example, a storage unit 11, a positioning unit 12, an activity sensing unit 13, an environment sensing unit 14, and a processing unit 15 electrically connected to the storage unit 11, the positioning unit 12, the activity sensing unit 13 and the environment sensing unit 14.

[0027] In the present embodiment, the storage unit 11 stores an electronic map and a plurality of icons, wherein the electronic map is implemented as a two-dimensional plane map presented from a top-down angle, and the icons are respectively a plurality of two-dimensional images, and each icon presents an object (e.g., a vehicle). Furthermore, the storage unit 11 is implemented as a memory module for storing digital data in the present embodiment. However, in other embodiments, the storage unit 11 may also be implemented as a traditional hard disk, a solid state hard disk, or other types of computer-readable recording media, or a combination of different types of computer-readable recording media.

[0028] The positioning unit 12 is implemented as a satellite positioning module based on satellite positioning technology, and the positioning unit 12 is capable of receiving satellite signals to immediately address the current location of the positioning unit 12 itself. More specifically, in the present embodiment, the satellite signal may be, for example, from the Global Positioning System (GPS), that is, the positioning unit 12 is, for example, a GPS satellite positioning module in the present embodiment. However, in other embodiments, the satellite signal may also be, for example, from other systems that use satellite signals to achieve immediate addressing functions, such as the Beidou Satellite Navigation System (BDS), the Galileo Positioning System (GALILEO) and the GLONASS System (GLONASS), etc. Therefore, the specific implementation of the positioning unit 12 is not limited to the present embodiment.

[0029] The activity sensing unit 13 is implemented as a six-axis acceleration sensor including an acceleration sensor (accelerometer) and a gyroscope (gyroscope), and the activity sensing unit 13 is fixedly disposed on the vehicle 5, so that it can be used to sense the displacement and rotation speed, direction and angle change of the vehicle 5. It is additionally explained that the acceleration sensor can also be called an accelerometer, an acceleration sensor, or a gravity sensor (G-Sensor), and in other embodiments, the activity sensing unit 13 can also include, for example, only one of the acceleration sensor and the gyroscope, and is not limited to this embodiment.

[0030] The environment sensing unit 14, for example, includes a camera module 141 and a radar module 142. More specifically, in the present embodiment, the camera module 141, for example, has a plurality of camera lenses, and the camera lenses are used to record and shoot around the vehicle 5. On the other hand, the radar module 142, for example, has a plurality of millimeter-wave radars, and the millimeter-wave radars are used to transmit millimeter waves around the vehicle 5, thereby scanning objects around the vehicle 5 and sensing the position and activity of the objects. It should be supplemented that, in other embodiments, the environment sensing unit 14 may also include only one of the camera module 141 and the radar module 142, and each of the millimeter-wave radars may also be implemented as a nanowave radar, an ultrasonic radar, an infrared radar, a lidar or other types of radars, and is not limited to the present embodiment.

[0031] In this embodiment, the processing unit 15 may, for example, include a central processing unit disposed inside the vehicle 5, and the processing unit 15 is, for example, electrically connected to a driving computer (not shown) of the vehicle 5 and can communicate with the driving computer, and can obtain various operating parameters of the vehicle 5 (such as driving speed) from the driving computer, but is not limited to this.

[0032] It is additionally noted that the accident recording system 1 of this embodiment can be manufactured and sold independently, and the accident recording system 1 is installed on the vehicle 5 after the vehicle 5 leaves the factory. However, in other embodiments, the accident recording system 1 can also be built into the vehicle 5 before the vehicle 5 leaves the factory, and the processing unit 15 can also be implemented as the vehicle computer of the vehicle 5 itself, or as a part of the vehicle computer of the vehicle 5. Therefore, the actual implementation of the accident recording system 1 is not limited to this embodiment.

[0033] See also Figure 1 and Figure 2 The following is a detailed description of how the accident recording system 1 of this embodiment implements an accident recording method during the driving process of the vehicle 5. For the sake of convenience, the vehicle 5 equipped with the accident recording system 1 is used as a first vehicle in the application of this embodiment.

[0034] First, in step S1, the processing unit 15, for example, continuously receives positioning data generated by the positioning unit 12 from the positioning unit 12, receives activity sensing data generated by the activity sensing unit 13 from the activity sensing unit 13, and receives environment sensing data generated by the environment sensing unit 14 from the environment sensing unit 14.

[0035] In more detail, in this embodiment, the positioning data is, for example, the positioning result of the positioning unit 12 for immediate addressing, which is equivalent to indicating the current position of the first vehicle in the electronic map. On the other hand, the activity sensing data is, for example, the sensing result of the activity sensing unit 13 for its own activities in six degrees of freedom, which is equivalent to indicating the activity mode of the first vehicle. On the other hand, the environmental sensing data includes, for example, dynamic image data generated by the camera module 141 for video recording, and scanning result data generated by the radar module 142 for scanning by the millimeter wave radars. In addition, the positioning data, the activity sensing data and the environmental sensing data are, for example, all updated in real time.

[0036] When the processing unit 15 continues to receive the positioning data, the activity sensing data, and the environment sensing data, the process proceeds to step S2.

[0037] In step S2, the processing unit 15 determines whether the activity of the first vehicle meets a collision condition based on the activity sensing data. More specifically, the collision condition, for example, represents that the first vehicle hits an object or is hit by an object, and the processing unit 15 can, for example, determine whether the collision condition is met based on the magnitude of the acceleration change indicated by the activity sensing data. It is additionally noted that the processing unit 15 can also use any other existing technology to achieve the method of meeting the collision condition, and is not limited to this embodiment.

[0038] If the processing unit 15 determines that the movement of the first vehicle does not meet the collision condition, the process starts again from step S2 after a predetermined period, for example, and if the processing unit 15 determines that the movement of the first vehicle meets the collision condition, the process proceeds to step S3.

[0039] In step S3, once the processing unit 15 determines that the collision condition is met, the processing unit 15 identifies a target object related to the collision condition and presented by the environmental sensing data from the environmental sensing data. More specifically, in this embodiment, the processing unit 15 can, for example, use image recognition technology to identify the target object that collides with the first vehicle (equivalent to causing the collision condition to be met) based on the dynamic image data of the environmental sensing data, and the target object can, for example, be another vehicle in motion, and, for ease of description, the other vehicle that causes the collision condition to be met is referred to as a second vehicle in the application of this embodiment.

[0040] It should be noted that in actual applications, the target object is not limited to other vehicles, but may also be other obstacles (such as electric poles, trees or walls). In addition, in other embodiments, the processing unit 15 may also identify the target object based on the dynamic image data and the scanning result data at the same time, or only identify the target object based on the scanning result data. Therefore, the way in which the processing unit 15 identifies the target object is not limited to this embodiment.

[0041] After the processing unit 15 recognizes the target object (the second vehicle in this embodiment) from the environmental sensing data, the process proceeds to step S4 .

[0042] Related References Figure 3 In step S4, the processing unit 15 obtains, for example, a first speed parameter P1 corresponding to the first vehicle itself, and calculates a second speed parameter P2 corresponding to the second vehicle according to the environmental sensing data, and calculates a distance parameter P3 related to the first vehicle and the second vehicle, and the first speed parameter P1, the second speed parameter P2 and the distance parameter P3, for example, all correspond to a critical period related to the time point at which the collision condition is met.

[0043] In the present embodiment, the critical period may, for example, represent the period from when the collision condition changes from "not met" to "met", and then to when the movement of the first vehicle itself stops. To be more specific, for example, a starting time point of the critical period may, for example, represent the X seconds before the processing unit 15 determines that the collision condition is met, and X may be any value. On the other hand, an ending time point of the critical period may, for example, represent the time point when the first vehicle completely stops moving after the collision condition is met (that is, after the collision occurs). However, in other embodiments, the critical period may, for example, be implemented as a period from X seconds before the collision condition is met to Y seconds after the collision condition is met, and Y may be any value. In general, the critical period can be implemented as long as it includes the time point when the processing unit 15 determines that the collision condition is met, and therefore, the specific implementation of the critical period is not limited to the present embodiment.

[0044] In more detail, the first speed parameter P1 may, for example, indicate the moving speed of the first vehicle itself at multiple time points during the critical period, that is, the value of the first speed parameter P1 in this example, for example, changes dynamically. Furthermore, the processing unit 15 may, for example, obtain the first speed parameter P1 from the driving computer of the first vehicle, but is not limited thereto. Furthermore, in other embodiments, the first speed parameter P1 may, for example, indicate the moving speed of the first vehicle M seconds before the collision condition is met, and M may be any value. In other words, the value of the first speed parameter P1 does not have to be dynamic, and the first speed parameter P1 can be implemented as long as it can indicate the moving speed of the first vehicle before the collision condition is met.

[0045] On the other hand, the second speed parameter P2 may, for example, indicate the moving speed of the second vehicle at multiple time points during the critical period, that is, the value of the second speed parameter P2 in this example also changes dynamically. In addition, the processing unit 15 may, for example, calculate the relative speed between the second vehicle and the first vehicle based on at least one of the scanning result data and the dynamic image data, and then calculate the second speed parameter P2 corresponding to the second vehicle. However, in other embodiments, the second speed parameter P2 may, for example, indicate the moving speed of the second vehicle N seconds before the collision condition is met, and N may be any value. In other words, the value of the second speed parameter P2 does not have to be dynamic, and the second speed parameter P2 can be implemented as long as it can indicate the moving speed of the second vehicle before the collision condition is met.

[0046] On the other hand, the distance parameter P3, for example, indicates the distance between the first vehicle and the second vehicle at multiple time points within the critical period. That is, the value of the distance parameter P3 in this example also changes dynamically, but is not limited to this.

[0047] After the processing unit 15 obtains the first speed parameter P1 , the second speed parameter P2 , and the distance parameter P3 , the process proceeds to step S5 .

[0048] In step S5, the processing unit 15 generates an image data D (exemplarily shown in Figure 3 In this embodiment, the image data D is, for example, Figure 3The image shown is a dynamic image presented from a top-down angle and composed of multiple static images. More specifically, the image data D can be implemented as a dynamic PNG file or GIF file, but is not limited thereto. Moreover, the image data D is generated by the processing unit 15, for example, according to the electronic map, the positioning data, a first icon M1 corresponding to the first vehicle among the icons, a second icon M2 corresponding to the second vehicle among the icons, the first speed parameter P1, the second speed parameter P2, and the distance parameter P3, but is not limited thereto.

[0049] In more detail, in the present embodiment, the processing unit 15 generates the image data D in a manner such as determining a key portion of the electronic map based on the positioning data, and the key portion corresponds to, for example, the position of the first vehicle in the real environment when the collision condition is met. Furthermore, the processing unit 15 also determines, for example, based on the portion of the positioning data corresponding to the key period, that the first icon M1 corresponding to the first vehicle is to be presented at the corresponding position and activity of the key portion, and calculates the relative position relationship between the second vehicle and the first vehicle during the key period based on at least one of the scanning result data and the dynamic image data, so as to determine that the second icon M2 corresponding to the second vehicle is to be presented at the corresponding position and activity of the key portion. Thus, the image data D is, for example, based on the key portion of the electronic map, the first icon M1, and the second icon M2. Figure 3 As shown, the positions of the first vehicle and the second vehicle in the real environment during the critical period are dynamically presented, and the movement process and relative position relationship between the first vehicle and the second vehicle during the critical period are dynamically presented.

[0050] Furthermore, in this embodiment, the image data D is also as follows Figure 3 As shown, the numerical changes of the first speed parameter P1, the second speed parameter P2 and the distance parameter P3 within the critical period are dynamically presented. Thus, compared with the dashcam images and the traffic accident scene map drawn afterwards in the prior art, the image data D can further present the speed changes of the first vehicle and the second vehicle during the critical period, as well as the distance changes between the first vehicle and the second vehicle. It is worth noting that the image data D of this embodiment can not only present the "result" of the collision accident between the first vehicle and the second vehicle, but also further present the "process" of the collision accident between the first vehicle and the second vehicle. Therefore, compared with the traffic accident scene map drawn afterwards, the image data D can reveal more detailed information of the collision accident, and help clarify the process and cause of the collision accident.

[0051] After the processing unit 15 generates the image data D, the process proceeds to step S6.

[0052] In step S6, the processing unit 15 outputs the image data D. In this embodiment, the processing unit 15 outputs the image data D by, for example, transmitting the image data D to a user device in a wireless manner (e.g., via a network or Bluetooth) so that the user device can display the image data D. The user device can be, for example, a smart phone or a tablet computer, but is not limited thereto. In other examples, the processing unit 15 outputs the image data D by, for example, transmitting the image data D to an email mailbox pre-set by the user. Therefore, the processing unit 15 outputs the image data D by not being limited to this embodiment.

[0053] After the processing unit 15 outputs the image data D, the accident recording method of this embodiment ends.

[0054] The above is an example description of how the accident recording system 1 of this embodiment implements the accident recording method.

[0055] It is additionally noted that in other implementations, the image data D may also be, for example, a static image (e.g., a JPEG file), and in the case where the image data D is a static image, preferably, the image data D, for example, presents the relative positional relationship between the first vehicle and the second vehicle when the processing unit 15 determines that the collision condition meets the current situation. On the other hand, in other implementations, the storage unit 11 may not store an electronic map, and the processing unit 15 may, for example, use image recognition technology to identify the environment around the first vehicle from the dynamic image data, and simultaneously receive the environmental sensing data, and then generate the image data D according to the identified driving environment, instead of using an electronic map to generate the image data D.

[0056] It should be understood that steps S1 to S6 of this embodiment and Figure 2 The flowchart is only used to illustrate one possible implementation mode of the accident recording method. Moreover, even if steps S1 to S6 are combined, split or adjusted in sequence, as long as the effect equal to that of the present embodiment can be achieved, it still belongs to the implementable mode of the accident recording method of the present invention. Therefore, steps S1 to S6 and Figure 2 The flowchart is not intended to limit the applicable scope of the accident recording system and method of the present invention.

[0057] The above is the description of the first embodiment of the accident recording system 1 of the present invention.

[0058] The present invention further provides a second embodiment of the accident recording system 1 , and the difference between the second embodiment and the first embodiment lies in the accident recording method implemented by the accident recording system 1 .

[0059] Specifically, in step S3 of the accident recording method of the second embodiment, the processing unit 15 further determines whether the dynamic image data of the environmental sensing data presents any traffic light (i.e., traffic light). Furthermore, when the processing unit 15 determines that the dynamic image data presents one or more traffic lights, and the processing unit 15 is able to identify the light status of the traffic light(s) (i.e., red light, yellow light, or green light) according to the dynamic image data, the processing unit 15 generates the image data D in step S5, for example, according to one or more signal icons in the icons corresponding to the traffic light(s), thereby, in the second embodiment, the image data D further presents signal icons corresponding to the traffic light(s), and each signal icon, for example, dynamically presents the light status of the corresponding traffic light within the critical period, which helps to further clarify the cause and process of the collision accident between the first vehicle and the second vehicle. Moreover, in a further implementation, the processing unit 15 may, for example, further determine whether the dynamic image data of the environmental sensing data presents any road markings (such as grid lines, guide lines or no parking lines, etc.), and add a corresponding marking icon to the image data D if the judgment result is yes. It is supplemented that, in the second embodiment, for each traffic light presented by the dynamic image data, the processing unit 15 can, for example, determine the relative position and distance relationship between the traffic light and the vehicle 5 in the real environment based on the position of the traffic light presented in the dynamic image and the shooting direction of the shooting module 141 relative to the vehicle 5, as well as the relevant activity sensing data measured by the activity sensing unit. Then, the processing unit 15 can directly determine the corresponding position of the traffic light in the electronic map based on the relative position and distance relationship between the traffic light and the vehicle 5 in the real environment, or, for example, based on the relative position and distance relationship between the traffic light and the vehicle 5 in the real environment and the positioning data (i.e., the positioning result of the positioning unit 12), and further determine the corresponding position of the signal icon corresponding to the traffic light that should be presented in the image data D. In this way, the second embodiment of the accident recording system 1 can ensure that the position of each signal icon in the image data D can correctly reflect the position of the corresponding traffic light in the real environment.

[0060] The above is the description of the second embodiment of the accident recording system 1 of the present invention.

[0061] The present invention further provides a third embodiment of the accident recording system 1 , and the difference between the third embodiment and the first embodiment also lies in the accident recording method implemented by the accident recording system 1 .

[0062] Specifically, in step S5 of the accident recording method of the third embodiment, when the target object is the second vehicle, the processing unit 15, for example, first identifies the vehicle type of the second vehicle (such as a bicycle, motorcycle, car, truck, and bus, etc.) based on the dynamic image data of the environmental sensing data, and then selects the second icon M2 that can present the vehicle type of the second vehicle from the icons based on the vehicle type of the second vehicle. In this way, the image data D can present the process and result of the collision accident between the first vehicle and the second vehicle more closely to the actual situation.

[0063] The above is the description of the third embodiment of the accident recording system 1 of the present invention.

[0064] The present invention further provides a fourth embodiment of the accident recording system 1 , and the difference between the fourth embodiment and the first embodiment also lies in the accident recording method implemented by the accident recording system 1 .

[0065] Specifically, in step S3 of the accident recording method of the fourth embodiment, when the processing unit 15 determines that the collision condition is met and the target object is the second vehicle, the processing unit 15, for example, further determines the on / off state of the first turn signal lamp corresponding to the first vehicle and the on / off state of the second turn signal lamp corresponding to the second vehicle. The on / off state of the first turn signal lamp, for example, indicates whether the turn signal lamp of the first vehicle is turned on during the critical period, and the processing unit 15, for example, determines the on / off state of the first turn signal lamp based on the operating parameters from the vehicle driving computer. On the other hand, the on / off state of the second turn signal lamp, for example, indicates whether the turn signal lamp of the second vehicle is turned on during the critical period, and the processing unit 15, for example, performs image recognition on the dynamic image data of the environmental sensing data to determine whether there is a regularly flashing light source on at least one side of the front and / or rear of the second vehicle, and then determines the on / off state of the second turn signal lamp. Furthermore, in step S5 of the fourth embodiment, the processing unit 15, for example, further generates the image data D according to the on / off state of the first turn signal lamp and the on / off state of the second turn signal lamp. In other words, the image data D in the fourth embodiment further indicates the on / off state of the first turn signal lamp and the on / off state of the second turn signal lamp. Thus, if any one of the first vehicle and the second vehicle collides with the other vehicle during a turn, indicating the on / off state of the first turn signal lamp and the on / off state of the second turn signal lamp can help clarify whether the driving behaviors of the drivers of the first vehicle and the second vehicle are appropriate. It is additionally noted that, in a similar implementation, the processing unit 15, for example, can also only determine one of the on / off state of the first turn signal lamp and the on / off state of the second turn signal lamp, and the image data D can also only indicate one of the on / off state of the first turn signal lamp and the on / off state of the second turn signal lamp.

[0066] It should be supplemented that the technical means in the above-mentioned first to fourth embodiments can be implemented in a mixed manner.

[0067] In summary, by implementing the accident recording method, the accident recording system 1 can identify the target object that causes the collision condition to be met from the environmental sensing data when it is determined that the collision condition is met, and then generate and output image data D that can present the relative position relationship between the vehicle 5 and the target object during the critical period. Thereby, when the vehicle 5 has a collision accident, the accident recording system 1 can reproduce the occurrence process of the collision accident in real time with the image data D for reference by the parties and investigators, so it can effectively assist in clarifying the details of the accident, and thus can indeed achieve the purpose of the present invention.

[0068] The above is only a specific embodiment of the present invention, but the protection scope of the present invention is not limited thereto. Any person skilled in the art can easily think of changes or substitutions within the technical scope disclosed by the present invention, which should be included in the protection scope of the present invention. Therefore, the protection scope of the present invention should be based on the protection scope of the claims.

Claims

1. An accident recording method, implemented by an accident recording system suitable for being arranged in a vehicle, the accident recording system comprising an activity sensing unit, an environment sensing unit and a processing unit, characterized in that: The accident recording method includes: the processing unit determines whether the activity of the vehicle meets a collision condition based on activity sensing data generated by the activity sensing unit and obtains a first speed parameter corresponding to the vehicle, and when the judgment result is yes, identifies a target object related to the collision condition and presented by the environmental sensing data from environmental sensing data generated by the environmental sensing unit, and calculates a second speed parameter corresponding to the target object based on the environmental sensing data, and generates and outputs image data presenting a dynamic image at a top-down angle at least based on the environmental sensing data, wherein the image data at least dynamically presents the relative position relationship, movement process, and the first speed parameter and the second speed parameter between the vehicle and the target object within a critical period, wherein the first speed parameter and the second speed parameter at least respectively indicate the moving speeds of the vehicle and the target object before the collision condition is met, and the critical period includes the time point when the processing unit determines that the collision condition is met.

2. The accident recording method according to claim 1, characterized in that: The processing unit also calculates a distance parameter according to the environmental sensing data, wherein the distance parameter indicates a change in the distance between the vehicle and the target object within the critical period, and the image data also dynamically presents the distance parameter.

3. The accident recording method according to claim 1, characterized in that: The environment sensing unit includes a shooting module, and the environment sensing data includes dynamic image data generated by the shooting module. In addition, when the processing unit determines that the dynamic image data shows a traffic light, the image data generated by the processing unit also shows a signal icon corresponding to the traffic light, and the signal icon shows the light status of the traffic light during the critical period.

4. The accident recording method according to claim 1, characterized in that: The accident recording system stores an electronic map, a first icon corresponding to the vehicle, and a second icon corresponding to the target object, and the image data presents the relative position relationship between the vehicle and the target object within the critical period using the first icon and the second icon, and the image data also presents the current positions of the vehicle and the target object within the critical period using a key part of the electronic map.

5. The accident recording method according to claim 1, characterized in that: When the processing unit determines that the collision condition is met and the target object is another vehicle, the processing unit also determines at least one of a first turn signal light on / off state corresponding to the vehicle and a second turn signal light on / off state corresponding to the other vehicle, wherein the first turn signal light on / off state indicates whether the turn signal light of the vehicle is turned on within the critical period, the second turn signal light on / off state indicates whether the turn signal light of the other vehicle is turned on within the critical period, and the image data also indicates at least one of the first turn signal light on / off state and the second turn signal light on / off state.

6. An accident recording system, characterized in that: Include: an activity sensing unit; an environment sensing unit; and a processing unit, electrically connected to the activity sensing unit and the environment sensing unit; wherein, The processing unit determines whether the activity of the vehicle meets a collision condition based on activity sensing data generated by the activity sensing unit and obtains a first speed parameter corresponding to the vehicle. When the judgment result is yes, the processing unit identifies a target object related to the collision condition and presented by the environment sensing data from the environment sensing data generated by the environment sensing unit and calculates a second speed parameter corresponding to the target object based on the environment sensing data. The processing unit generates and outputs image data presenting a dynamic image at a top-down angle at least based on the environment sensing data, wherein the image data at least presents a relative position relationship, a movement process, and the first speed parameter and the second speed parameter between the vehicle and the target object within a critical period, wherein the first speed parameter and the second speed parameter at least respectively indicate the moving speeds of the vehicle and the target object before the collision condition is met, and the critical period includes a time point when the processing unit determines that the collision condition is met.

7. The accident recording system according to claim 6, characterized in that: The processing unit also calculates a distance parameter according to the environmental sensing data, wherein the distance parameter indicates a change in the distance between the vehicle and the target object within the critical period, and the image data also dynamically presents the distance parameter.

8. The accident recording system according to claim 6, characterized in that: The environment sensing unit includes a shooting module, and the environment sensing data includes dynamic image data generated by the shooting module. In addition, when the processing unit determines that the dynamic image data shows a traffic light, the image data generated by the processing unit also shows a signal icon corresponding to the traffic light, and the signal icon shows the light status of the traffic light during the critical period.

9. The accident recording system according to claim 6, characterized in that: The accident recording system stores an electronic map, a first icon corresponding to the vehicle, and a second icon corresponding to the target object, and the image data presents the relative position relationship between the vehicle and the target object within the critical period using the first icon and the second icon, and the image data also presents the current positions of the vehicle and the target object within the critical period using a key part of the electronic map.

10. The accident recording system according to claim 6, characterized in that: When the processing unit determines that the collision condition is met and the target object is another vehicle, the processing unit also determines at least one of a first turn signal light on / off state corresponding to the vehicle and a second turn signal light on / off state corresponding to the other vehicle, wherein the first turn signal light on / off state indicates whether the turn signal light of the vehicle is turned on within the critical period, the second turn signal light on / off state indicates whether the turn signal light of the other vehicle is turned on within the critical period, and the image data also indicates at least one of the first turn signal light on / off state and the second turn signal light on / off state.

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