CN110758308A - Handling method, device, equipment and medium for accident in self-help test driving - Google Patents
Handling method, device, equipment and medium for accident in self-help test driving Download PDFInfo
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- CN110758308A CN110758308A CN201911014485.9A CN201911014485A CN110758308A CN 110758308 A CN110758308 A CN 110758308A CN 201911014485 A CN201911014485 A CN 201911014485A CN 110758308 A CN110758308 A CN 110758308A
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- B—PERFORMING OPERATIONS; TRANSPORTING
- B60—VEHICLES IN GENERAL
- B60R—VEHICLES, VEHICLE FITTINGS, OR VEHICLE PARTS, NOT OTHERWISE PROVIDED FOR
- B60R21/00—Arrangements or fittings on vehicles for protecting or preventing injuries to occupants or pedestrians in case of accidents or other traffic risks
- B60R21/01—Electrical circuits for triggering passive safety arrangements, e.g. airbags, safety belt tighteners, in case of vehicle accidents or impending vehicle accidents
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- G—PHYSICS
- G07—CHECKING-DEVICES
- G07C—TIME OR ATTENDANCE REGISTERS; REGISTERING OR INDICATING THE WORKING OF MACHINES; GENERATING RANDOM NUMBERS; VOTING OR LOTTERY APPARATUS; ARRANGEMENTS, SYSTEMS OR APPARATUS FOR CHECKING NOT PROVIDED FOR ELSEWHERE
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- G07C5/08—Registering or indicating performance data other than driving, working, idle, or waiting time, with or without registering driving, working, idle or waiting time
- G07C5/0841—Registering performance data
- G07C5/085—Registering performance data using electronic data carriers
- G07C5/0866—Registering performance data using electronic data carriers the electronic data carrier being a digital video recorder in combination with video camera
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Abstract
The invention provides a handling method, a handling device, equipment and a medium for accidents in self-help test driving, wherein the handling method for accidents in self-help test driving comprises the following steps: in the test driving process of the test driving vehicle, a 360-degree looking-around component arranged on the vehicle is used for collecting real-time looking-around images of the periphery of the vehicle in real time, and an in-vehicle image collecting component is used for collecting real-time in-vehicle images of a driver; if a predefined accident event occurs to the test driving vehicle, determining that the real-time all-round view image when the accident event occurs is a first target video segment, and determining that the real-time in-vehicle image when the accident event occurs is a second target video segment; and controlling the first target video segment and the second target video segment to be uploaded to a cloud.
Description
Technical Field
The invention relates to the field of vehicle test driving, in particular to a handling method, a handling device, handling equipment and handling media for accidents in self-service test driving.
Background
In the field of automobiles, a conventional test drive generally refers to a customer driving a designated vehicle along a designated route with a dealer's appointed personnel, so as to know the driving performance and the handling performance of the automobile. In the prior art, automatic test driving or self-service test driving can be realized under the condition of no accompanying of designated personnel.
However, in the test driving process of the self-help test driving, if an accident occurs, since no person accompanies the test driving process, it is difficult to timely and accurately obtain the occurrence of the accident and to timely and accurately analyze the cause, responsibility and the like of the accident.
Disclosure of Invention
The invention provides a handling method, a handling device, handling equipment and handling media for accidents in self-help test driving, and aims to solve the problems.
According to a first aspect of the present invention, a handling method for an accident in self-help test driving is provided, which is applied to a cloud or a vehicle-mounted intelligent terminal, and includes:
in the test driving process of the test driving vehicle, a 360-degree looking-around component arranged on the vehicle is used for collecting real-time looking-around images of the periphery of the vehicle in real time, and an in-vehicle image collecting component is used for collecting real-time in-vehicle images of a driver;
if a predefined accident event occurs to the test driving vehicle, determining that the real-time all-round view image when the accident event occurs is a first target video segment, and determining that the real-time in-vehicle image when the accident event occurs is a second target video segment;
and controlling the first target video segment and the second target video segment to be uploaded to a cloud.
Optionally, before controlling the first target video segment and the second target video segment to be uploaded to the cloud, the method further includes:
configuring corresponding unexpected event identifiers for the first target video segment and the second target video segment, wherein the unexpected event identifiers are used for identifying at least one of the following:
the time at which the incident occurred;
a location where the incident occurred;
a type of the incident;
a corresponding vehicle location of the incident.
Optionally, before controlling the test driving vehicle to upload the second target video segment to the cloud, the method further includes:
and determining that the driver performs predefined improper operation according to at least one of the operation information of the test driving vehicle, the real-time in-vehicle image and the real-time all-round view image.
Optionally, the method further includes:
and after the test driving is finished, controlling the test driving vehicle to upload all real-time all around-looking images and real-time in-vehicle images generated in the test driving process to the cloud.
Optionally, the detecting that the test-driving vehicle has the target event includes:
and recognizing the accident according to the real-time all-round images and/or a sensor arranged on the test driving vehicle.
Optionally, after detecting that the test-driving vehicle has an accident, the method further includes:
controlling the test-driving vehicle to call at least one of: the system comprises a rescue center server, a road rescue server and a test driving management center server.
Optionally, the unexpected event comprises at least one of: collision events, scratch events.
According to a second aspect of the present invention, there is provided a handling device for handling an accident in self-help test driving, applied to a cloud or a vehicle-mounted intelligent terminal, including:
the real-time acquisition module is used for acquiring real-time all-around images of the periphery of the vehicle in real time by utilizing a 360-degree all-around part arranged on the vehicle and acquiring real-time in-vehicle images of a driver by utilizing an in-vehicle image acquisition part in the test driving process of the test driving vehicle;
the video segment determining module is used for determining that the real-time all-round-looking image when the accident happens is a first target video segment and determining that the real-time in-vehicle image when the accident happens is a second target video segment if the fact that the predefined accident happens to the test driving vehicle is detected;
and the uploading module is used for controlling the first target video segment and the second target video segment to be uploaded to a cloud.
According to a third aspect of the invention, there is provided an electronic device comprising a memory and a processor,
the memory is used for storing codes;
the processor is configured to execute the code in the memory to implement the method according to the first aspect and its alternatives.
According to a fourth aspect of the present invention, there is provided a storage medium having stored thereon a program which, when executed by a processor, carries out the method of the first aspect and alternatives thereof.
According to the handling method and device for the accident in the self-service test driving, the electronic equipment and the storage medium, provided by the invention, various conditions in the test driving process of the test driving vehicle are recorded by utilizing the image acquired by the corresponding component, so that related personnel can conveniently check the test driving process in real time or after the test driving process. Meanwhile, the invention can upload the corresponding target video when detecting the accident, can report the occurrence of the accident in a targeted manner, and can also select the video related to the accident in a targeted manner for reporting, thereby facilitating the viewing and analysis of the accident by related personnel or systems, and providing a basis for subsequent matters of responsibility determination, claim settlement, compensation and the like.
The invention collects 360-degree images of the periphery of the vehicle, can comprehensively monitor all parts of the periphery of the vehicle, and can comprehensively record and feed back accident events at any parts. Meanwhile, in a common driving scene, if an accident happens, only the external responsibility of the vehicle needs to be judged, and in a test driving scene, the test driving vehicle is not the driver and also needs to judge the responsibility of the operation of the driver in the accident, so that the influence of the operation of the driver on the accident and the accident consequence is convenient to learn, the image of the driver is collected, and the corresponding video is uploaded.
Drawings
In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings used in the description of the embodiments or the prior art will be briefly described below, and it is obvious that the drawings in the following description are only some embodiments of the present invention, and for those skilled in the art, other drawings can be obtained according to these drawings without creative efforts.
Fig. 1 is a first flowchart illustrating a handling method for handling an unexpected event in a self-service test driving according to an embodiment of the present invention;
fig. 2 is a flowchart illustrating a second method for handling an unexpected event in a self-service test driving according to an embodiment of the present invention;
fig. 3 is a third schematic flow chart illustrating a handling method for handling an unexpected event in the self-service test driving according to an embodiment of the present invention;
fig. 4 is a flowchart illustrating a fourth method for handling an unexpected event in the self-service test driving according to an embodiment of the present invention;
fig. 5 is a flowchart illustrating a fifth method for handling an unexpected event in the self-service test driving according to an embodiment of the present invention;
fig. 6 is a first schematic diagram illustrating program modules of a handling device for handling unexpected events during self-service driving test according to an embodiment of the present invention;
fig. 7 is a schematic diagram of a program module of a handling device for handling an unexpected event in the self-service test driving according to an embodiment of the present invention;
fig. 8 is a schematic diagram of a third program module of a handling device for handling an unexpected event in the self-service test driving according to an embodiment of the present invention;
fig. 9 is a schematic structural diagram of an electronic device in an embodiment of the present invention.
Detailed Description
The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
The terms "first," "second," "third," "fourth," and the like in the description and in the claims, as well as in the drawings, if any, are used for distinguishing between similar elements and not necessarily for describing a particular sequential or chronological order. It is to be understood that the data so used is interchangeable under appropriate circumstances such that the embodiments of the invention described herein are capable of operation in sequences other than those illustrated or described herein. Furthermore, the terms "comprises," "comprising," and "having," and any variations thereof, are intended to cover a non-exclusive inclusion, such that a process, method, system, article, or apparatus that comprises a list of steps or elements is not necessarily limited to those steps or elements expressly listed, but may include other steps or elements not expressly listed or inherent to such process, method, article, or apparatus.
The technical solution of the present invention will be described in detail below with specific examples. The following several specific embodiments may be combined with each other, and details of the same or similar concepts or processes may not be repeated in some embodiments.
Fig. 1 is a first flowchart illustrating a handling method for an unexpected event in a self-service test driving according to an embodiment of the present invention.
The handling method for the accident in the self-service test driving, which is related by the embodiment, can be applied to the intelligent vehicle-mounted terminal, the intelligent vehicle-mounted terminal can be in communication connection with the cloud, and then data uploading is achieved, and the handling method for the accident in the self-service test driving, which is related by the embodiment, can also be applied to the cloud.
The vehicle-mounted intelligent terminal can be a vehicle machine of a vehicle, and can also be any other intelligent equipment connected to the vehicle machine, for example, intelligent equipment special for test driving, and the intelligent terminal can be connected with the vehicle machine.
The cloud may be understood as any device or collection of devices having certain data storage and data processing capabilities.
Referring to fig. 1, a handling method for an unexpected event in a self-help test driving includes:
s11: in the test driving process of the test driving vehicle, a 360-degree looking-around component arranged on the vehicle is used for collecting real-time looking-around images of the periphery of the vehicle in real time, and an in-vehicle image collecting component is used for collecting real-time in-vehicle images of a driver.
The 360-degree all-round looking component can be understood as any component capable of acquiring 360-degree images of the periphery of the vehicle, can also be understood as a 360-degree panoramic all-round looking system, and can be correspondingly translated into: AVM (around View monitor). Correspondingly, the real-time all-round looking image is any image collected by the 360-degree all-round looking component.
In a specific example, the 360-degree panoramic part can specifically utilize a plurality of cameras to collect images in each direction of 360 degrees around the periphery, and then the images are spliced together to form a 360-degree panoramic image.
Through 360 degrees of look around, can monitor each position of vehicle periphery comprehensively to can be comprehensive to record and feedback in the accident of arbitrary position.
The in-vehicle image acquisition component can be understood as any component capable of acquiring images in a vehicle, and can be any camera, such as a common camera, a fisheye camera and other cameras with specific functions and parameters. The number of the image acquisition components in the automobile can be one or a plurality of, if the number of the image acquisition components is one, the setting position and the direction of the image acquisition components can be any position and direction capable of acquiring the face of the driver, if the number of the image acquisition components is a plurality of, the setting position and the direction of at least one of the image acquisition components can be any position and direction capable of acquiring the face of the driver. It is apparent that any one of the in-vehicle image capturing means can capture the image of the driver without departing from the description of the present embodiment. Correspondingly, the real-time in-vehicle image is any image acquired by the 360-degree all-around viewing component.
Through above embodiment, utilize the image that corresponding part gathered to carry out the record to the various condition in the vehicle test driving process of driving, it can be convenient for relevant personnel to the test driving process go on in real time or look over afterwards.
After step S11, the method may further include:
s12: whether an accident event is detected in the test-driving vehicle.
An incident therein is understood to be any predefined incident. For example, may include a crash event and/or scratch event. The collision event and the scratch event comprise collision and scratch between a vehicle and a vehicle, collision and scratch between the vehicle and a person, and collision and scratch between the vehicle and other external objects, such as barriers, walls and railings on roads, and simultaneously, collision and scratch between the vehicle and the animal can also be included.
The manner of determining the unexpected event based on any information in the art does not depart from the description of the embodiment, and the basis may be, for example: the real-time surround view image and the real-time in-vehicle image described above may be any sensor mounted on a vehicle, for example.
In one embodiment, the process of detecting an unexpected event may be, for example: and recognizing the accident according to the real-time all-round images and/or a sensor arranged on the test driving vehicle.
In a specific example, it may be recognized that an accident occurs when the acceleration sensor detects that the speed and the acceleration of the vehicle change abnormally, it may also be recognized whether the surface of the vehicle has a shape change in the real-time looking-around image, where the shape change may be, for example, whether the vehicle is recessed compared to a sound state, whether a scratch is generated, or the like, it may also be recognized whether the vehicle contacts other vehicles, people, and objects in the real-time looking-around image, or it may also be recognized whether the distance between the vehicle and other vehicles, people, and objects reaches 0, that is, the vehicle contacts with an infrared sensor.
It can be seen that the process of detecting the unexpected event can be a process of detecting the occurrence of the unexpected event, such as whether contact occurs, or a process of detecting the occurrence of the unexpected event, such as whether dent or scratch is generated.
If the determination result of step S12 is yes, the following steps may be implemented:
s13: determining the real-time all-around image when the accident happens to be a first target video segment, and determining the real-time in-vehicle image when the accident happens to be a second target video segment;
s14: and controlling the first target video segment and the second target video segment to be uploaded to a cloud.
The first target video segment and the second target video segment may be video segments within a period of time before and after the detection of the accident, and may be a fixed length of time, for example, 10 seconds before and after the accident, or a variable length of time, and further may be a variable time according to the duration of the accident and the type of the accident.
If the embodiment is applied to the cloud, the execution process of the step S14 may be a process of instructing the test driving vehicle to upload the target video segment, and if the embodiment is applied to the intelligent vehicle-mounted terminal and the intelligent vehicle-mounted terminal is connected to the corresponding acquisition component, the execution process of the step S14 may be a process of directly uploading the target video segment in the image acquired from the component to the cloud.
Through the implementation mode, the corresponding target video can be uploaded when the accident is detected, the accident can be reported in a targeted manner, and the video related to the accident can be selected in a targeted manner for reporting, so that related personnel or a system can conveniently check and analyze the accident, and a basis can be provided for subsequent matters of responsibility determination, claim settlement, compensation and the like.
In addition, in a common driving scene, if an accident happens, only the external responsibility of the vehicle needs to be judged, and in a test driving scene, because the test driving vehicle is not the driver and also needs to judge the responsibility of the operation of the driver in the accident, in order to conveniently learn the influence of the operation of the driver on the accident and the accident consequence, the invention also collects the image of the driver and uploads the corresponding video.
Fig. 2 is a flowchart illustrating a second method for handling an unexpected event in a self-help test driving according to an embodiment of the present invention.
Referring to fig. 2, before step S15, the method may further include:
s15: and configuring corresponding accident identification for the first target video segment and the second target video segment.
The indication of an unexpected event is understood to be any information describing an unexpected event.
In one embodiment, the incident identifier may be used to identify at least one of:
the time at which the incident occurred;
a location where the incident occurred;
a type of the incident;
a corresponding vehicle location of the incident.
The time in the above can be automatically generated, and the location information can be determined by a positioning device such as a GPS of the vehicle. The types in the above contents can be determined according to real-time all-round view image recognition, and the recognition mode can be recognized by adopting a recognition model, for example, the recognition model can be determined by training of various accident images and calibration information. The vehicle part in the above description may be determined by real-time looking-around image recognition, or may be determined according to which camera of the vehicle part is acquired in the 360-degree looking-around component, or may be determined according to the position of the vehicle part in the real-time looking-around image acquired by the 360-degree looking-around component, or the relative position of the vehicle part with the whole vehicle or the calibration position.
Through the unexpected identification, the unexpected event corresponding to the target video segment can be accurately described and identified, the video segment can be conveniently and automatically managed, checked and analyzed manually or by a system, and the specific content of the unexpected event can be learned to a certain degree.
Fig. 3 is a third flowchart illustrating a handling method for an unexpected event in the self-service test driving according to an embodiment of the present invention.
Referring to fig. 3, since step S14 includes: s141: and controlling the second target video segment to be uploaded to the cloud. Before step S141, the method may further include: s16: and determining that the driver performs predefined improper operation according to at least one of the operation information of the test driving vehicle, the real-time in-vehicle image and the real-time all-round view image.
Improper operation is defined as operation that is contrary to the specification, normal operation, or defined as proper operation. For example, it may include: when changing lanes and turning, the driver can see the road condition or the reflector without turning, and the method also comprises the following steps: not in time stepping on the brake when being close with the preceding car distance, perhaps meetting the red light, can also include: not pulling the hand brake when parking for a long time can also include: when the vehicle is close to other vehicles, people, animals and objects at a certain speed or accelerated speed, the brake is not stepped on in time.
In order to identify the above events, at least one of the real-time in-vehicle image, the operation information and the real-time around-looking image may be used as a basis, for example, since the position of the in-vehicle image collecting component is fixed, if the in-vehicle image collecting component is arranged at the position where the instrument panel CAN be shot, whether the hand brake is pulled up CAN be judged according to whether the hand brake lamp is on, if the in-vehicle image collecting component is arranged at the position where the hand brake CAN be shot, whether the hand brake is pulled up CAN be judged according to the position of the hand brake, meanwhile, whether the brake is stepped on CAN be judged according to whether the brake lamp collected by the real-time around-looking image is on, and also CAN be judged according to the information collected by each sensor in the vehicle, for example, the operation information of the brake CAN be.
For another example, whether the eyes of the driver check the reflector and the road condition or not can be judged according to the real-time in-vehicle image, or whether the head of the driver turns to check the reflector and the road condition or not can be judged.
In addition, the improper operation can be judged by combining the operation information collected by the sensor, such as speed, acceleration, whether the steering wheel rotates, the distance between the steering wheel and other people, vehicles, objects, animals and the like.
Specific examples thereof include: if the sensor on the vehicle detects that the steering wheel rotates, the situation that lane change or steering is needed is indicated, and at the moment, if the situation that the reflector and the road condition are not checked by the driver is judged according to the real-time image in the vehicle, improper operation is determined to occur; it is also possible, for example: if the distance between the sensor on the vehicle and the front vehicle is detected to be smaller than the warning value and the brake is not stepped down all the time, determining that improper operation occurs; it is also possible, for example:
in addition, the above-mentioned operation information may be any information describing the operation of the vehicle and any component thereof, and may be information describing the operation state, such as whether the steering wheel is rotated, the turning angle, whether the brake is pressed, whether the accelerator is pressed, or information obtained by the operation thereof, such as distance information detected by a distance measuring sensor, acceleration information detected by an acceleration sensor, and the like.
Fig. 4 is a flowchart illustrating a fourth handling method for handling an unexpected event in the self-service test driving according to an embodiment of the present invention.
Referring to fig. 4, the handling method for the unexpected event in the self-help test driving further includes:
s17: whether the test driving is finished or not;
if the determination result in the step S17 is yes, the step S18 may be implemented: and controlling the test driving vehicle to upload all real-time all around-looking images and real-time in-vehicle images generated in the test driving process to the cloud.
Through the implementation mode, uploading feedback of the vehicle peripheral image and the vehicle interior image can be realized, and basis is provided for post-processing.
If the embodiment is applied to the cloud, the execution process of the step S18 may be a process of instructing the test driving vehicle to upload all images, and if the embodiment is applied to the intelligent vehicle-mounted terminal and the intelligent vehicle-mounted terminal is connected to the corresponding acquisition component, the execution process of the step S14 may be a process of directly uploading the images acquired from the component to the cloud.
Also, this embodiment does not exclude embodiments where video segments are also periodically and/or quantitatively uploaded during the test drive.
Fig. 5 is a flowchart illustrating a fifth method for handling an unexpected event in the self-service test driving according to an embodiment of the present invention.
Referring to fig. 5, if the determination result in step S12 is yes, the method may further include:
s19: controlling the test-driving vehicle to call at least one of: the system comprises a rescue center server, a road rescue server and a test driving management center server.
Through the process, the pilot driver can timely contact with relevant personnel such as rescue, road rescue, pilot driving and the like, so that the pilot driver can conveniently guide the pilot driver to process accidents.
And the vehicle-mounted interaction equipment can be used for outputting a calling interface to the driver test personnel, displaying all calling objects in the calling interface, and calling any one of the calling objects according to the selection of the driver test personnel.
In summary, in the handling method for the unexpected event in the self-service test driving provided by this embodiment, the images acquired by the corresponding components are used to record various conditions in the test driving process of the test driving vehicle, so that the relevant personnel can conveniently check the test driving process in real time or after the test driving process. Meanwhile, the embodiment can also upload the corresponding target video when the accident is detected, can report the occurrence of the accident in a targeted manner, and can also select the video related to the accident in a targeted manner for reporting, so that related personnel or a system can conveniently check and analyze the accident, and a basis can be provided for subsequent matters of responsibility determination, claim settlement, compensation and the like.
The 360-degree images of the periphery of the vehicle are collected, all parts of the periphery of the vehicle can be monitored comprehensively, and therefore recording and feedback can be conducted on accidents at any parts comprehensively. Meanwhile, in a common driving scene, if an accident happens, only the external responsibility of the vehicle needs to be judged, and in a test driving scene, because the test driving vehicle is not the driver and also needs to judge the responsibility of the operation of the driver in the accident, in order to conveniently obtain the influence of the operation of the driver on the accident and the accident consequence, the embodiment also collects the image of the driver and uploads the corresponding video.
Fig. 6 is a first schematic program module diagram of a handling device for handling an unexpected event in a self-service test driving according to an embodiment of the present invention.
Referring to fig. 6, the handling device 200 for handling unexpected events in self-help test driving, applied to a cloud or a vehicle-mounted intelligent terminal, includes:
the real-time acquisition module 201 is used for acquiring a real-time all-round view image of the periphery of the vehicle in real time by using a 360-degree all-round view component arranged on the vehicle and acquiring a real-time in-vehicle image of a driver by using an in-vehicle image acquisition component in the test driving process of the test driving vehicle;
a video segment determining module 202, configured to determine, if it is detected that a predefined accident occurs in the test driving vehicle, that a real-time surround view image when the accident occurs is a first target video segment, and determine that a real-time in-vehicle image when the accident occurs is a second target video segment;
the uploading module 203 is configured to control the first target video segment and the second target video segment to be uploaded to a cloud.
Fig. 7 is a schematic diagram of a second program module of a handling device for handling an unexpected event in the self-service test driving according to an embodiment of the present invention.
Referring to fig. 7, the apparatus further includes:
an identifying module 205, configured to configure corresponding unexpected event identifier for the first target video segment and the second target video segment, where the unexpected event identifier is used to identify at least one of:
the time at which the incident occurred;
a location where the incident occurred;
a type of the incident;
a corresponding vehicle location of the incident.
Optionally, the apparatus further includes:
an improper operation determining module 204, configured to determine that the driver performs a predefined improper operation according to at least one of the operation information of the test-driving vehicle, the real-time in-vehicle image, and the real-time all-round image.
Optionally, the uploading module 203 is further configured to control the test driving vehicle to upload all real-time panoramic images and real-time in-vehicle images generated in the test driving process to the cloud after the test driving is finished.
Optionally, the detecting that the test-driving vehicle has the target event includes:
and recognizing the accident according to the real-time all-round images and/or a sensor arranged on the test driving vehicle.
Fig. 8 is a third schematic program module diagram of a handling device for handling unexpected events in self-service driving test according to an embodiment of the present invention.
Referring to fig. 8, the apparatus further includes:
a calling module 206, configured to control the test-driving vehicle to call at least one of: the system comprises a rescue center server, a road rescue server and a test driving management center server.
Optionally, the unexpected event comprises at least one of: collision events, scratch events.
In summary, in the handling processing device for the unexpected event in the self-service test driving provided by this embodiment, the images acquired by the corresponding components are used to record various conditions in the test driving process of the test driving vehicle, so that the relevant personnel can conveniently check the test driving process in real time or after the test driving process. Meanwhile, the embodiment can also upload the corresponding target video when the accident is detected, can report the occurrence of the accident in a targeted manner, and can also select the video related to the accident in a targeted manner for reporting, so that related personnel or a system can conveniently check and analyze the accident, and a basis can be provided for subsequent matters of responsibility determination, claim settlement, compensation and the like.
The 360-degree images of the periphery of the vehicle are collected, all parts of the periphery of the vehicle can be monitored comprehensively, and therefore recording and feedback can be conducted on accidents at any parts comprehensively. Meanwhile, in a common driving scene, if an accident happens, only the external responsibility of the vehicle needs to be judged, and in a test driving scene, because the test driving vehicle is not the driver and also needs to judge the responsibility of the operation of the driver in the accident, in order to conveniently obtain the influence of the operation of the driver on the accident and the accident consequence, the embodiment also collects the image of the driver and uploads the corresponding video.
Fig. 9 is a schematic structural diagram of an electronic device according to an embodiment of the invention.
Referring to fig. 9, an electronic device 30 is provided, which includes:
a processor 31; and the number of the first and second groups,
a memory 32 for storing executable instructions of the processor;
wherein the processor 31 is configured to perform the above-mentioned method via execution of the executable instructions.
The processor 31 is capable of communicating with the memory 32 via a bus 33.
The present embodiment also provides a computer-readable storage medium, on which a computer program is stored, characterized in that the program, when executed by a processor, implements the above-mentioned method.
Those of ordinary skill in the art will understand that: all or a portion of the steps of implementing the above-described method embodiments may be performed by hardware associated with program instructions. The program may be stored in a computer-readable storage medium. When executed, the program performs steps comprising the method embodiments described above; and the aforementioned storage medium includes: various media that can store program codes, such as ROM, RAM, magnetic or optical disks.
Finally, it should be noted that: the above embodiments are only used to illustrate the technical solution of the present invention, and not to limit the same; while the invention has been described in detail and with reference to the foregoing embodiments, it will be understood by those skilled in the art that: the technical solutions described in the foregoing embodiments may still be modified, or some or all of the technical features may be equivalently replaced; and the modifications or the substitutions do not make the essence of the corresponding technical solutions depart from the scope of the technical solutions of the embodiments of the present invention.
Claims (10)
1. A handling method for accident in self-help test driving is applied to a cloud or a vehicle-mounted intelligent terminal, and is characterized by comprising the following steps:
in the test driving process of the test driving vehicle, a 360-degree looking-around component arranged on the vehicle is used for collecting real-time looking-around images of the periphery of the vehicle in real time, and an in-vehicle image collecting component is used for collecting real-time in-vehicle images of a driver;
if a predefined accident event occurs to the test driving vehicle, determining that the real-time all-round view image when the accident event occurs is a first target video segment, and determining that the real-time in-vehicle image when the accident event occurs is a second target video segment;
and controlling the first target video segment and the second target video segment to be uploaded to a cloud.
2. The method according to claim 1, before controlling the first target video segment and the second target video segment to be uploaded to a cloud, further comprising:
configuring corresponding unexpected event identifiers for the first target video segment and the second target video segment, wherein the unexpected event identifiers are used for identifying at least one of the following:
the time at which the incident occurred;
a location where the incident occurred;
a type of the incident;
a corresponding vehicle location of the incident.
3. The method of claim 1, wherein before controlling the test drive vehicle to upload the second target video segment to a cloud, further comprising:
and determining that the driver performs predefined improper operation according to at least one of the operation information of the test driving vehicle, the real-time in-vehicle image and the real-time all-round view image.
4. The method of any of claims 1 to 3, further comprising:
and after the test driving is finished, controlling the test driving vehicle to upload all real-time all around-looking images and real-time in-vehicle images generated in the test driving process to the cloud.
5. The method of any one of claims 1 to 3, wherein detecting the occurrence of a target event by the test-drive vehicle comprises:
and recognizing the accident according to the real-time all-round images and/or a sensor arranged on the test driving vehicle.
6. The method of any of claims 1 to 3, wherein after detecting the test drive vehicle as having an incident, further comprising:
controlling the test-driving vehicle to call at least one of: the system comprises a rescue center server, a road rescue server and a test driving management center server.
7. The method of any one of claims 1 to 3, wherein the unexpected event comprises at least one of: collision events, scratch events.
8. The utility model provides a reply processing apparatus of accident in self-service test drives, is applied to high in the clouds or on-vehicle intelligent terminal, a serial communication port, includes:
the real-time acquisition module is used for acquiring real-time all-around images of the periphery of the vehicle in real time by utilizing a 360-degree all-around part arranged on the vehicle and acquiring real-time in-vehicle images of a driver by utilizing an in-vehicle image acquisition part in the test driving process of the test driving vehicle;
the video segment determining module is used for determining that the real-time all-round-looking image when the accident happens is a first target video segment and determining that the real-time in-vehicle image when the accident happens is a second target video segment if the fact that the predefined accident happens to the test driving vehicle is detected;
and the uploading module is used for controlling the first target video segment and the second target video segment to be uploaded to a cloud.
9. An electronic device, comprising a memory and a processor,
the memory is used for storing codes;
the processor to execute code in the memory to implement the method of any one of claims 1 to 7.
10. A storage medium having a program stored thereon, the program being characterized in that it implements the method of any one of claims 1 to 7 when executed by a processor.
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