TWI772145B - Method and system for incident recording - Google Patents

Abstract

An incident recording method is implemented by an incident recording system. The incident recording system is disposed at a vehicle. The incident recording method includes: The incident recording system determines whether the activity of the vehicle conforms to a collision condition according to activity sensing data, identifies a target object relative to the collision condition from environment sensing data upon the determining is affirmative, generates image data according to the environment sensing data, and outputs the image data. The image data presents the relative position relationship between the vehicle and the target object in a critical period, wherein the critical period covers the moment that the collision condition conformed.

Description

Accident recording method and system

The present invention relates to an accident recording method, in particular to an accident recording method suitable for vehicles. The present invention also relates to an accident recording system capable of implementing the accident recording method.

In the prior art, after a traffic accident occurs, the police are usually present at the scene to draw a road traffic accident scene map, so as to record the scene of the traffic accident. However, the hand-drawn road traffic accident scene map can present relatively limited information. , if no other information can be used to assist in clarifying the details of the accident, it may be difficult to clarify the process of the accident and the related culpability.

Therefore, one of the objectives of the present invention is to provide an accident recording method which can help clarify the occurrence process of a traffic accident.

The accident recording method of the present invention is implemented by an accident recording system suitable for being installed 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 processing unit Determine whether the activity of the vehicle meets a collision condition according to an activity sensing data generated by the activity sensing unit, and identify it from an environment sensing data generated by the environment sensing unit when the determination result is yes generating and outputting a target object related to the collision condition and represented by the environmental sensing data, and generating and outputting an image data at least according to the environmental sensing data, wherein the image data at least presents the vehicle and the The relative positional relationship between the target objects within a critical period, and the critical period covers the time point when the processing unit determines that the collision condition is met.

In some implementation aspects of the accident recording method of the present invention, the image data is a dynamic image presented from a top-down angle, and the image data at least dynamically presents the vehicle and the target object within the critical period movement process.

In some implementation aspects of the accident recording method of the present invention, the processing unit further calculates a distance parameter according to the environmental sensing data, and the distance parameter indicates the distance between the vehicle and the target object within the critical period changes, and the image material also dynamically presents the distance parameter.

In some implementation aspects of the accident recording method of the present invention, the processing unit further obtains a pair of first speed parameters of the corresponding vehicle, and calculates a pair of second speed parameters of the target object according to the environmental sensing data, wherein, The first speed parameter and the second speed parameter at least respectively indicate the moving speed 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 .

In some implementation aspects of the accident recording method of the present invention, the environment sensing unit includes a photographing module, and the environment sensing data includes a dynamic image data generated by photographing by the photographing module, and in the When the processing unit determines that the dynamic image data presents a traffic signal, the image data generated by the processing unit also presents a pair of signal icons corresponding to the traffic signal, and the signal The illustration presents the light status of the traffic light during the critical period.

In some implementation aspects of the accident recording method of the present invention, 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 The relative positional relationship between the vehicle and the target object within the critical period is represented by the first icon and the second icon, and the image data is also represented by a key part of the electronic map Present the current position of the vehicle and the target object within the critical period.

In some implementation aspects of the accident recording method of the present invention, when the processing unit determines that the collision condition is met and the target object is another vehicle, the processing unit further determines that the first direction light of the corresponding vehicle is turned on at least one of an on-off state and an on-off state corresponding to the second turn signal of the vehicle, wherein the first turn-on/off state of the turn signal indicates whether the turn signal of the vehicle is turned on within the critical period, the The on-off state of the second direction light indicates whether the direction light of the other vehicle is turned on during the critical period, and the image data also indicates the on-off state of the first direction light and the on-off state of the second direction light the at least one of the states.

Another object of the present invention is to provide an accident recording system capable of implementing the accident recording method.

The accident recording system of the present invention includes 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 judges whether the activity of the vehicle meets a collision condition according to a motion sensing data generated by the motion sensing unit, and when the judgment result is yes, from an environment generated by the environment sensing unit Identifying a target object related to the collision condition and presented by the environmental sensing data from the sensing data, and generating and outputting an image data at least according to the environmental sensing data, wherein the image data at least presents The relative positional relationship between the vehicle and the target object within a critical period is obtained, and the critical period covers the time point when the processing unit determines that the collision condition is met.

In some implementation aspects of the accident recording system of the present invention, the image data is a dynamic image presented from a top-down angle, and the image data at least dynamically presents the vehicle and the target object within the critical period movement process.

In some implementation aspects of the accident recording system of the present invention, the processing unit further calculates a distance parameter according to the environmental sensing data, and the distance parameter indicates the distance between the vehicle and the target object within the critical period changes, and the image material also dynamically presents the distance parameter.

In some implementation aspects of the accident recording system of the present invention, the processing unit further obtains a pair of first speed parameters of the corresponding vehicle, and calculates a pair of second speed parameters of the target object according to the environmental sensing data, wherein, The first speed parameter and the second speed parameter at least respectively indicate the moving speed 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 .

In some implementation aspects of the accident recording system of the present invention, the environment sensing unit includes a photographing module, and the environment sensing data includes a dynamic image data generated by the photographing module, and in the When the processing unit determines that the dynamic image data presents a traffic signal, the image data generated by the processing unit also presents a pair of signal icons corresponding to the traffic signal, and the signal The illustration presents the light status of the traffic light during the critical period.

In some implementation aspects of the accident recording system of the present invention, 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 The relative positional relationship between the vehicle and the target object within the critical period is represented by the first icon and the second icon, and the image data is also represented by a key part of the electronic map Present the current position of the vehicle and the target object within the critical period.

In some implementation aspects of the accident recording system of the present invention, when the processing unit determines that the collision condition is met and the target object is another vehicle, the processing unit further determines that the first direction light of the corresponding vehicle is turned on at least one of an on-off state and an on-off state corresponding to the second turn signal of the vehicle, wherein the first turn-on/off state of the turn signal indicates whether the turn signal of the vehicle is turned on within the critical period, the The on-off state of the second direction light indicates whether the direction light of the other vehicle is turned on during the critical period, and the image data also indicates the on-off state of the first direction light and the on-off state of the second direction light the at least one of the states.

The effect of the present invention is that the accident recording system can identify the target object related to the collision condition from the environmental sensing data when it is judged that the collision condition is met, and then generate and output the target object that can show the relationship between the vehicle and the target object. The image data of the relative positional relationship between the two during the critical period, so that when the vehicle collides, the accident recording system can instantly reproduce the process of the collision with image data for the parties and investigators. Therefore, it can effectively assist in clarifying the details of the accident, and can indeed improve the inconvenience of the prior art.

Before the present invention is described in detail, it should be noted that in the following description, similar elements are designated by the same reference numerals. If not specifically defined, the "electrical connection" mentioned in this patent specification generally refers to the "wired electrical connection" between multiple electronic devices/devices/elements connected to each other through conductive materials, and the connection through wireless communication technology. A "radio link" for one-way/two-way wireless signal transmission. In addition, unless otherwise defined, the "electrical connection" described in this patent specification also generally refers to a "direct electrical connection" formed by directly connecting multiple electronic devices/devices/elements to each other, as well as multiple electronic devices/devices/components. The devices/components are also indirectly connected to each other through other electronic devices/devices/components.

Referring to FIG. 1, a first embodiment of the accident recording system 1 of the present invention is suitable, for example, to be installed in a vehicle 5. In the application of this embodiment, the vehicle 5 may be, for example, a passenger car. However, in this embodiment, the In other applications, the vehicle 5 can also be, for example, a locomotive, a truck or a large passenger car, and is not limited to the small passenger car exemplified in this embodiment.

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 an electrical connection between the storage unit 11 and the positioning unit 12 . , the activity sensing unit 13 and the processing unit 15 of the environment sensing unit 14 .

In this embodiment, the storage unit 11 stores, for example, an electronic map and a plurality of icons, wherein the electronic map is, for example, implemented as a two-dimensional plane map presented from a top-down angle. On the other hand, the icons For example, they are respectively a plurality of two-dimensional images, and each icon represents an object (such as a vehicle), for example. Moreover, the storage unit 11 is implemented as a memory module for storing digital data in this embodiment, for example. However, in other embodiments, the storage unit 11 can also be implemented as a conventional hard disk, a solid state disk, or other types of computer-readable recording media, or a combination of different types of computer-readable recording media.

The positioning unit 12 is, for example, implemented as a satellite positioning module implemented based on satellite positioning technology, and the positioning unit 12 can receive satellite signals to perform real-time positioning of the current position of the positioning unit 12 , for example. More specifically, in this embodiment, the satellite signal may be, for example, from a global positioning system (Global Positioning System, GPS for short), that is, the positioning unit 12 in this embodiment is, for example, A GPS satellite positioning module. However, in other embodiments, the satellite signal may also come from other systems that utilize satellite signals to achieve real-time positioning, such as Beidou, which is generally referred to by satellite navigation systems (Global Navigation Satellite System, GNSS for short). Satellite navigation system (BDS), Galileo positioning system (GALILEO), GLONASS system (GLONASS), etc. Therefore, the specific implementation of the positioning unit 12 is not limited to this embodiment.

The activity sensing unit 13 is, for example, implemented as a six-axis acceleration sensor including an accelerometer (Accelerometer in English) and a gyroscope (gyroscope in English), and the activity sensing unit 13 is, for example, fixedly arranged In the vehicle 5 , it can be used to sense the speed, direction and angle changes of the displacement and rotation of the vehicle 5 . It should be added that the accelerometer 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 be, for example, only It includes one of the accelerometer and the gyroscope, but is not limited to this embodiment.

The environment sensing unit 14 includes, for example, a photographing module 141 and a radar module 142 . To be more specific, in this embodiment, the photographing module 141 has, for example, a plurality of photographing lenses, and the photographing lenses are, for example, used for recording and photographing around the vehicle 5 . On the other hand, the radar module 142 has, for example, a plurality of millimeter-wave radars, and the millimeter-wave radars are, for example, used to transmit millimeter waves toward the surroundings of the vehicle 5 , thereby scanning objects around the vehicle 5 and sensing the objects location and activities. It should be noted that, in other embodiments, the environment sensing unit 14 may include only one of the photographing module 141 and the radar module 142 , and each of the millimeter-wave radars may also include For example, it can be implemented as a nano-wave radar, an ultrasonic radar, an infrared radar, or a lidar and other types of radar, but is not limited to this embodiment.

In this embodiment, the processing unit 15 may include, for example, a central processing unit disposed inside the vehicle 5 , and the processing unit 15 is, for example, electrically connected to an on-board computer (not shown) of the vehicle 5 . The on-board computer can communicate with each other, and various operating parameters (eg, driving speed) of the vehicle 5 can be obtained from the on-board computer, but not limited thereto.

It should be added that the accident recording system 1 of this embodiment can be independently manufactured and sold, for example, and the accident recording system 1 is installed on the vehicle 5 after the vehicle 5 is shipped from 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 driving of the vehicle 5 , for example. The computer itself, or a part of the trip computer of the vehicle 5, therefore, the actual implementation of the accident recording system 1 is not limited to this embodiment.

Referring to FIG. 1 and FIG. 2 at the same time, the following exemplarily describes in detail how the accident recording system 1 of the present embodiment implements an accident recording method during the driving process of the vehicle 5 , and, for the convenience of description, here will be provided with the accident recording method. The vehicle 5 of the accident recording system 1 is used as a first vehicle in the application of this embodiment.

First, in step S1 , the processing unit 15 continuously receives, for example, a positioning data generated by the positioning unit 12 from the positioning unit 12 and a positioning data generated by the movement sensing unit 13 from the activity sensing unit 13 . and receive from the environment sensing unit 14 an environment sensing data generated by the environment sensing unit 14 .

More specifically, in this embodiment, the positioning data is, for example, the positioning result of the real-time positioning performed by the positioning unit 12 , which is equivalent to indicating the current position corresponding to the first vehicle in the electronic map. On the other hand, the motion sensing data is, for example, the sensing result of the motion sensing unit 13 for its own motion in six degrees of freedom, which is equivalent to indicating the motion mode of the first vehicle. On the other hand, the environment sensing data includes, for example, a dynamic image data generated by the shooting module 141 for video recording, and a scanning result generated by the radar module 142 scanning with the millimeter-wave radars material. Moreover, the positioning data, the activity sensing data and the environment sensing data are all updated in real time, for example.

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.

In step S2, the processing unit 15 determines whether the movement of the first vehicle meets a collision condition according to the movement sensing data. More specifically, the collision condition represents, for example, that the first vehicle hits an object or is hit by an object, and the processing unit 15 can, for example, determine the collision condition according to the magnitude of the acceleration change indicated by the activity sensing data Is it compliant. It should be added that the manner in which the processing unit 15 determines whether the collision condition is met can also be achieved by using any other prior art, and is not limited to this embodiment.

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

In step S3, once the processing unit 15 determines that the collision condition is satisfied, 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 may, for example, use image recognition technology to identify a collision with the first vehicle (equivalent to causing the collision condition to be met) according to dynamic image data of the environment sensing data. The target object, and the target object can be, for example, another vehicle in motion, and, for the convenience of description, the other vehicle that causes the collision condition to be satisfied is used as a second vehicle in the application of this embodiment. .

It should be added that in practical applications, the target object is not limited to other vehicles, but may also be other obstacles (such as utility poles, trees or walls). Moreover, in other embodiments, the processing unit 15 can also identify the target object according to the dynamic image data and the scan result data at the same time, or identify the target object only according to the scan result data, for example, Therefore, the manner in which the processing unit 15 identifies the target object is not limited to this embodiment.

After the processing unit 15 identifies the target object (the second vehicle in this embodiment) from the environment sensing data, the process proceeds to step S4.

Referring to FIG. 3 , in step S4 , the processing unit 15 obtains, for example, a pair of first speed parameters P1 corresponding to the first vehicle itself, and calculates a pair of second speed parameters corresponding to the second vehicle according to the environmental sensing data P2, and a distance parameter P3 related to the first vehicle and the second vehicle is calculated, and the first speed parameter P1, the second speed parameter P2 and the distance parameter P3 all correspond to, for example, a collision with the collision The key period associated with the point in time when the condition is met.

In this embodiment, the critical period may, for example, represent the period from the collision condition from "not met" to "compliant", and then to the stop of the movement of the first vehicle itself. For example, a starting time point of the critical period may represent, for example, the first 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 (ie, after the collision occurs). However, in other embodiments, the critical period can also 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 can be any value. Generally speaking, the critical period can be implemented as long as it covers the time point at which the processing unit 15 determines that the collision condition is met. Therefore, the specific implementation of the critical period is not limited to this embodiment.

In more detail, the first speed parameter P1 may, for example, indicate the moving speed of the first vehicle itself at multiple time points within the critical period, that is, the value of the first speed parameter P1 in this example For example, it changes dynamically. Moreover, the processing unit 15 may obtain the first speed parameter P1 from the trip computer of the first vehicle, for example, but not limited thereto. Moreover, in other embodiments, the first speed parameter P1 may also indicate, for example, 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 first speed parameter The value of 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.

On the other hand, the second speed parameter P2 may, for example, indicate the moving speed of the second vehicle at multiple time points within the critical period, that is to say, the value of the second speed parameter P2 is also in this example. For example, it is dynamic. In addition, the processing unit 15 may, for example, calculate the relative speed of the second vehicle and the first vehicle according to at least one of the scanning result data and the dynamic image data, and then calculate the first vehicle corresponding to the second vehicle. Two speed parameters P2. 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 second speed parameter The value of 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.

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 For example, it is also dynamic, but not limited to this.

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.

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

More specifically, in this embodiment, the processing unit 15 generates the image data D by, for example, determining a key part of the electronic map according to the positioning data, and the key part, for example, corresponds to the position of the first vehicle in the real environment when the collision condition is met. In addition, the processing unit 15 also determines, for example, according to the part of the positioning data corresponding to the critical period, the first icon M1 corresponding to the first vehicle is to be presented in the corresponding position and movement mode of the critical part, and according to the scanning result At least one of the data and the dynamic image data calculates the relative positional relationship between the second vehicle and the first vehicle during the critical period to determine the second icon M2 corresponding to the second vehicle to be presented The corresponding position and activity mode of the key part. Thereby, the image data D dynamically presents the first vehicle and the second vehicle as shown in FIG. 3 by, for example, the key part of the electronic map, the first icon M1 and the second icon M2 The position in the real environment during the critical period, and the moving process and relative positional relationship between the first vehicle and the second vehicle during the critical period are dynamically presented.

Further, in this embodiment, the image data D also dynamically presents the first speed parameter P1, the second speed parameter P2 and the distance parameter P3 within the critical period as shown in FIG. 3, for example. The numerical value changes, whereby, compared with the driving recorder image in the prior art and the traffic accident scene map drawn afterwards, the image data D can further present the first vehicle and the second vehicle during the critical period. Speed changes, and distance changes between the first vehicle and the second vehicle. It is worth noting that the image data D in 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 first vehicle and the second vehicle The "process" of a collision accident. Therefore, the image data D can reveal more detailed information of the collision accident than the traffic accident scene map drawn afterwards, and help to clarify the process and cause of the collision accident.

After the processing unit 15 generates the image data D, the flow proceeds to step S6.

In step S6, the processing unit 15 outputs the image data D, and, in this embodiment, the processing unit 15 outputs the image data D, for example, the image data D wirelessly (eg via the network or bluetooth) to a user device for the user device to display the image data D, wherein the user device may be, for example, a smart phone or a tablet computer, but not Not limited to this. In other instances, the processing unit 15 may also output the image data D by, for example, sending the image data D to an email mailbox preset by the user. Therefore, the processing unit 15 outputs the image data D. The manner of the image data D is not limited to this embodiment.

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

The above is an example description of how the accident recording system 1 of the present embodiment implements the accident recording method.

It should be added that in other implementation aspects, the image data D may also be, for example, a static image (eg, a JPEG file), and in the aspect in which 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 is in line with the current position. On the other hand, in other embodiments, the storage unit 11 may not store an electronic map, and the processing unit 15 may, for example, use image recognition technology to recognize the surrounding of the first vehicle from the dynamic image data environment, and at the same time receive the environment sensing data, and then generate the image data D according to the identified driving environment, instead of using the electronic map to generate the image data D.

It should be understood that, steps S1 to S6 in this embodiment and the flowchart of FIG. 2 are only one of the possible implementations for illustrating the accident recording method, and even if steps S1 to S6 are merged and disassembled, As long as it can achieve the same effect as this embodiment, it still belongs to the implementable aspect of the accident recording method of the present invention. Therefore, steps S1 to S6 of this embodiment and the flowchart of FIG. 2 are not used for The scope of implementation of the accident recording system and method of the present invention is limited.

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

The present invention also 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 .

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 environment sensing data shows any traffic lights (ie, traffic lights). Moreover, the processing unit 15 determines that the dynamic image data presents one or more traffic lights, and the processing unit 15 can identify the light status of the traffic signal(s) according to the dynamic image data (that is, a red light, a yellow light or a green light), the processing unit 15 in step S5, for example, further according to the one or more sign icons corresponding to the (etc.) traffic light to generate the image data D, whereby, in the second embodiment, the image data D further presents sign icons corresponding to the (etc.) traffic lights, and each sign image For example, dynamically presenting the light state of the corresponding traffic light during the critical period is helpful to further clarify the cause and process of the collision accident between the first vehicle and the second vehicle. Moreover, in a further embodiment, the processing unit 15 may, for example, further determine whether the dynamic image data of the environmental sensing data shows any road markings (such as mesh lines, grooved lines, or no parking lines, etc.) , and in the case that the judgment result is yes, a corresponding glyph icon is added to the image data D. It should be added that, in the second embodiment, for each traffic light displayed by the dynamic image data, the processing unit 15 can, for example, be able to use the location of the traffic light in the dynamic image and The photographing module 141 is relative to the photographing direction of the vehicle 5 and the activity sensing unit measures the relevant activity sensing data to determine the relative azimuth and distance between the traffic light and the vehicle 5 in the real environment Then, the processing unit 15 can directly base on the relative bearing and distance relation between the traffic light and the vehicle 5 in the real environment, or, for example, according to the relative position between the traffic light and the vehicle 5 in the real environment. The relationship between the azimuth and the distance and the positioning data (that is, the positioning result of the positioning unit 12) to determine the corresponding position of the traffic light in the electronic map, and then determine the corresponding signal of the traffic light in the The corresponding position that should be presented in the image data D, whereby the second embodiment of the accident recording system 1 can ensure that the position of each sign in the image data D can correctly reflect the corresponding traffic The location of the signal light in the real environment.

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

The present invention also 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 .

Specifically, in step S5 of the accident recording method of the third embodiment, in the case that the target object is the second vehicle, the processing unit 15, for example, firstly identifies the dynamic image data according to the environmental sensing data. The vehicle type of the second vehicle (such as bicycles, locomotives, passenger cars, trucks and coaches, etc.), and then select the vehicle type that can represent the vehicle type of the second vehicle from the illustrations according to the vehicle type of the second vehicle. The second image M2, whereby 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.

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

The present invention also 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 .

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, also determines A pair corresponds to the on-off state of the first direction light of the first vehicle, and a pair corresponds to the on-off state of the second direction light of the second vehicle. Wherein, the on-off state of the first direction light, for example, indicates whether the direction light of the first vehicle is turned on during the critical period, and the processing unit 15, for example, determines the first direction light according to the operating parameters from the trip computer. Turning lights on and off. On the other hand, the on-off state of the second direction light, for example, indicates whether the direction light of the second vehicle is turned on during the critical period, and the processing unit 15, for example, performs the dynamic image data of the environmental sensing data. Image recognition is used to determine whether there is a regularly flickering light source on at least one side of the front and/or rear of the second vehicle, and then determine whether the second direction light is on or off. Moreover, in step S5 of the fourth embodiment, the processing unit 15 also generates the image data D according to the on-off state of the first directional light and the on-off state of the second directional light, in other words, the image data D. Like data D in the fourth embodiment, it further indicates the on-off state of the first direction light and the on-off state of the second direction light. Thereby, if any one of the first vehicle and the second vehicle collides with the other during the turning process, it is indicated that the on-off state of the first turn signal and the on-off state of the second turn signal can be turned on and off. Help to clarify whether the driving behavior of the drivers of the first vehicle and the second vehicle is appropriate. It should be added that, in a similar embodiment, the processing unit 15 may, for example, only determine one of the on-off state of the first direction light and the on-off state of the second direction light, and the image data D It is also possible to indicate only the on-off state of the first direction light and the on-off state of the second direction light.

It is added that the technical means in the aforementioned first to fourth embodiments can be implemented in a mixed manner with each other.

To sum up, 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 judged that the collision condition is met, and then generate and output the target object that causes the collision condition to be met. Present the image data D of the relative positional relationship between the vehicle 5 and the target object during the critical period, whereby when the vehicle 5 collides with the accident, the accident recording system 1 can instantly use the image data D The occurrence process of the collision accident is reproduced for the reference of the parties and the investigators, so it can effectively assist in clarifying the details of the accident, so it can indeed achieve the purpose of the present invention.

However, the above are only examples of the present invention, and should not limit the scope of the present invention. Any simple equivalent changes and modifications made according to the scope of the application for patent of the present invention and the content of the patent specification are still within the scope of the present invention. within the scope of the invention patent.

1: Accident Recording System 11: Storage unit 12: Positioning unit 13: Activity Sensing Unit 14: Environmental Sensing Unit 141: Shooting module 142: Radar Module 15: Processing unit 5: Vehicles P1: The first speed parameter P2: Second speed parameter P3: Distance parameter D: Image data M1: The first icon M2: Second icon S1~S6: Steps

Other features and effects of the present invention will be clearly presented in the embodiments with reference to the drawings, wherein: 1 is a schematic block diagram of a first embodiment of an accident recording system of the present invention being applied to a vehicle; FIG. 2 is a flow chart illustrating how the first embodiment implements an accident recording method; and FIG. 3 is a schematic diagram exemplarily illustrating a dynamically presented image data generated by implementing the accident recording method according to the first embodiment.

S1~S6: Steps

Claims (12)

An accident recording method 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 processing unit According to an activity sensing data generated by the activity sensing unit, it is judged whether the activity of the vehicle meets a collision condition, and when the judgment result is yes, a pair of first speed parameters of the corresponding vehicle are obtained. A target object related to the collision condition and presented by the environmental sensing data is identified from the environmental sensing data generated by the detection unit, and a second velocity parameter corresponding to the target object is calculated according to the environmental sensing data , and at least generate and output an image data according to the environment sensing data, wherein the first speed parameter and the second speed parameter at least respectively indicate the moving speed of the vehicle and the target object before the collision condition is met, The image data at least presents the first speed parameter, the second speed parameter, and the relative positional relationship between the vehicle and the target object within a critical period, and the critical period covers the processing unit to determine the The point in time when the collision conditions are met. The accident recording method according to claim 1, wherein the image data is a dynamic image presented from a top-down angle, and the image data at least dynamically presents the vehicle and the target object within the critical period movement process. The accident recording method according to claim 2, wherein the processing unit further calculates a distance parameter according to the environmental sensing data, and the distance parameter indicates the distance between the vehicle and the target object within the critical period Change , and the image data also dynamically presents the distance parameter. The accident recording method according to claim 1, wherein the environment sensing unit includes a photographing module, and the environment sensing data includes a dynamic image data generated by photographing by the photographing module, and in the When the processing unit determines that the dynamic image data presents a traffic signal, the image data generated by the processing unit also presents a pair of signal icons corresponding to the traffic signal, and the signal The illustration presents the light status of the traffic light during the critical period. The accident recording method according to claim 1, wherein 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 The relative positional relationship between the vehicle and the target object within the critical period is represented by the first icon and the second icon, and the image data is also represented by a key part of the electronic map Present the current position of the vehicle and the target object within the critical period. The accident recording method according to claim 1, wherein, when the processing unit determines that the collision condition is met and the target object is another vehicle, the processing unit further determines that the first direction light of the corresponding vehicle is turned on at least one of an on-off state and an on-off state corresponding to the second turn signal of the vehicle, wherein the first turn-on/off state of the turn signal indicates whether the turn signal of the vehicle is turned on within the critical period, the The on-off state of the second direction light indicates whether the direction light of the other vehicle is turned on during the critical period, and the image data also indicates the on-off state of the first direction light and the on-off state of the second direction light the at least one of the states. An accident recording system, comprising: an activity sensing unit; an environment sensing unit; and a processing unit, electrically connecting the activity sensing unit and the environment sensing unit; wherein, the processing unit is based on a The activity sensing data generated by the unit judges whether the activity of the vehicle meets a collision condition, and when the judgment result is yes, obtains a first speed parameter of the corresponding vehicle, from an environmental sense generated by the environmental sensing unit Identifying a target object related to the collision condition and presented by the environmental sensing data from the measured data, calculating a second velocity parameter of the target object according to the environmental sensing data, and at least according to the environmental sensing data Generate and output an image data from the measurement data, wherein the first speed parameter and the second speed parameter at least respectively indicate the moving speed of the vehicle and the target object before the collision condition is met, and the image data at least shows The first speed parameter, the second speed parameter, and the relative positional relationship between the vehicle and the target object within a critical period, and the critical period covers the time point when the processing unit determines that the collision condition is met. The accident recording system of claim 7, wherein the image data is a dynamic image presented from a top-down angle, and the image data at least dynamically presents the vehicle and the target object within the critical period movement process. The accident recording system according to claim 8, wherein the processing unit further calculates a distance parameter according to the environmental sensing data, and the distance parameter indicates The distance change between the vehicle and the target object within the critical period is displayed, and the image data also dynamically presents the distance parameter. The accident recording system according to claim 7, wherein the environment sensing unit includes a photographing module, and the environment sensing data includes a dynamic image data generated by photographing by the photographing module, and in the When the processing unit determines that the dynamic image data presents a traffic signal, the image data generated by the processing unit also presents a pair of signal icons corresponding to the traffic signal, and the signal The illustration presents the light status of the traffic light during the critical period. The accident recording system according to claim 7, wherein 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 The relative positional relationship between the vehicle and the target object within the critical period is represented by the first icon and the second icon, and the image data is also represented by a key part of the electronic map Present the current position of the vehicle and the target object within the critical period. The accident recording system according to claim 7, wherein, when the processing unit determines that the collision condition is met and the target object is another vehicle, the processing unit further determines that the first direction light of the corresponding vehicle is turned on at least one of an on-off state and an on-off state corresponding to the second turn signal of the vehicle, wherein the first turn-on/off state of the turn signal indicates whether the turn signal of the vehicle is turned on within the critical period, the The on-off state of the second direction light indicates whether the direction light of the other vehicle is turned on within the critical period, and the image data also indicates the on-off state of the first direction light and the The at least one of the on-off states of the second direction light.

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