Vehicle visual sharing system and method

Abstract

The invention discloses a vehicle vision sharing system and method. The system comprises an automobile data recorder, a vehicle-mounted TBOX, a positioning navigation device, a cloud platform and a vehicle-mounted display terminal. The vehicle-mounted TBOX is in signal connection with the automobile data recorder, the positioning navigation device and the vehicle-mounted display terminal, and the vehicle-mounted TBOX is in communication connection with the cloud platform through a mobile network. When a road section is congested, the cloud platform determines vehicles in the congested road section according to vehicle position information reported by the positioning navigation device, and the cloud platform sends a road picture request instruction to the vehicles in the congested road section so as to obtain a vehicle front road picture collected by the automobile data recorder corresponding to the vehicles in the congested road section. And road congestion reason analysis is carried out according to the summarized congested road pictures, so that the congestion reason and related road pictures are sent to vehicles on congested road sections. And the vehicle-mounted display terminal can interactively display the congestion reason and related road pictures. According to the invention, the driver can check the road ahead more conveniently.

Description

Technical Field

[0001] The present invention relates to the technical field of automobile navigation, and more specifically, to a vehicle vision sharing system and method. Background Art

[0002] When driving on the road, cars often encounter congestion ahead and slow progress. Although there are navigation software on the market that can estimate the travel time, drivers behind the congested road cannot see the specific cause of the congestion ahead, cannot reasonably arrange the next trip, and cannot wait at ease, which easily leads to impatience. Therefore, how to share vehicle vision to view the specific situation of road congestion is of great significance. Summary of the invention

[0003] The present invention provides a vehicle vision sharing system and method, which solves the problem that existing vehicles cannot obtain real-time images of congested road sections, which easily causes drivers to be unable to view the cause of congestion ahead. It can improve the intelligence of road congestion data collection and improve the convenience of drivers in viewing the road ahead.

[0004] To achieve the above objectives, the present invention provides the following technical solutions:

[0005] A vehicle vision sharing system, comprising: a driving recorder, a vehicle-mounted TBOX, a positioning navigation device, a cloud platform and a vehicle-mounted display terminal;

[0006] The vehicle-mounted TBOX is respectively connected to the driving recorder, the positioning navigation device and the vehicle-mounted display terminal by signal, and the vehicle-mounted TBOX is connected to the cloud platform through a mobile network;

[0007] When a road section is congested, the cloud platform determines the vehicles in the congested section through the vehicle position information reported by the positioning navigation device, and sends a road picture request instruction to the vehicles in the congested section to obtain the road picture in front of the vehicle collected by the driving recorder corresponding to the vehicle in the congested section, and analyzes the cause of the road congestion based on the summarized congested road picture, and then sends the congestion cause and related road pictures to the vehicles in the congested section;

[0008] The vehicle-mounted display terminal can interactively display the cause of congestion and related road images.

[0009] Preferably, it also includes: a car voice assistant;

[0010] The vehicle-mounted display terminal is provided with the vehicle-machine voice assistant. When the user issues a command through the vehicle-machine voice assistant to query the road picture of the congested road section ahead, the vehicle-machine voice assistant sends a congestion query request to the cloud platform after receiving the command;

[0011] The cloud platform sends the collected congested road section images to the corresponding vehicle according to the congestion query request.

[0012] Preferably, the positioning and navigation device is provided with a Beidou navigation module or a GPS navigation module.

[0013] Preferably, the driving recorder is provided with a mobile communication module, and the driving recorder is connected to the cloud platform through the mobile communication module, and sends the relevant road picture when receiving the road picture sending request from the cloud platform.

[0014] Preferably, the cloud platform is provided with a cloud server, and the cloud server is used to periodically receive the location information and road images sent by each vehicle.

[0015] Preferably, the cloud platform interacts with the navigation software database information. When the cloud platform receives the congestion query request, it obtains the map data, road condition information and road condition picture of the corresponding congested road section from the navigation software database, and sends them to the on-board display terminal of the corresponding vehicle for display.

[0016] The present invention also provides a vehicle vision sharing method, using the above-mentioned vehicle vision sharing system, comprising:

[0017] Through vehicle positioning, the vehicle automatically detects the road images collected by the driving recorder of the vehicle ahead in the congested section, and uploads the road images to the cloud platform in real time;

[0018] The cloud platform periodically receives the location information sent by each vehicle, determines the congestion degree and congested sections of each road section based on data analysis, locates the vehicles in the congested sections, automatically extracts the road images collected by the driving recorders of the corresponding vehicles in the congested sections, and uploads them to the cloud in real time for storage;

[0019] The cloud platform sends the road picture and congestion information of the corresponding congested road section to the on-board display terminal of the corresponding vehicle according to the congested road section query request sent by the vehicle.

[0020] Preferably, it also includes:

[0021] The user can query the real-time image of the congested road ahead by sending instructions to the car voice assistant. After receiving the instructions, the car voice assistant sends a congestion query request to the cloud.

[0022] Preferably, it also includes:

[0023] The cloud locates the congested section where the corresponding vehicle is located according to the received congestion query request, extracts the dashcam image of the preceding vehicle in the corresponding congested section according to the vehicle position information, and sends it to the corresponding vehicle.

[0024] Preferably, it also includes:

[0025] Obtain whether the user is satisfied with the road picture currently displayed by the vehicle-mounted display terminal. If not, switch to the road picture collected by the next front vehicle in the congested section until the user is satisfied.

[0026] The present invention provides a vehicle vision sharing system and method, which collects road images collected by the driving recorders of each vehicle on a congested road section through a cloud platform, and sends the road images and congestion information of the corresponding congested road section to the corresponding vehicle according to the congested road section query request sent by the vehicle. The problem that the existing vehicles cannot obtain the congested road section images in real time, which easily causes the driver to be unable to view the cause of the congestion ahead, can be solved, and the intelligent collection of road congestion road condition data can be improved, and the convenience of the driver to view the road ahead can be improved. BRIEF DESCRIPTION OF THE DRAWINGS

[0027] In order to more clearly illustrate the specific embodiments of the present invention, the drawings required for use in the embodiments are briefly introduced below.

[0028] Figure 1 It is a schematic diagram of a vehicle vision sharing system provided by the present invention.

[0029] Figure 2 It is a flow chart of interaction between a vehicle and a cloud platform provided by an embodiment of the present invention.

[0030] Figure 3 It is a schematic diagram of a vehicle vision sharing method provided by the present invention.

[0031] Figure 4 It is a flow chart of interaction between a cloud platform, a vehicle and a user provided by an embodiment of the present invention. DETAILED DESCRIPTION

[0032] In order to enable persons skilled in the art to better understand the solutions of the embodiments of the present invention, the embodiments of the present invention are further described in detail below in conjunction with the accompanying drawings and implementation modes.

[0033] In view of the problem that current vehicles are unable to obtain real-time images of congested road sections, the present invention provides a vehicle vision sharing system and method to solve the problem that existing vehicles are unable to obtain real-time images of congested road sections, which easily causes the driver to be unable to view the cause of the congestion ahead. It can improve the intelligence of road congestion data collection and improve the convenience of the driver in viewing the road ahead.

[0034] like Figure 1As shown, a vehicle visual sharing system includes: a driving recorder, a vehicle-mounted TBOX, a positioning and navigation device, a cloud platform and a vehicle-mounted display terminal. The vehicle-mounted TBOX is signal-connected to the driving recorder, the positioning and navigation device and the vehicle-mounted display terminal respectively, and the vehicle-mounted TBOX is connected to the cloud platform through a mobile network. When congestion occurs on a road section, the cloud platform determines the vehicles in the congested section through the vehicle position information reported by the positioning and navigation device, and the cloud platform sends a road picture request instruction to the vehicles in the congested section to obtain the road picture in front of the vehicle collected by the driving recorder corresponding to the vehicle in the congested section, and analyzes the cause of road congestion based on the summarized congested road picture, and then sends the congestion cause and related road pictures to the vehicles in the congested section. The vehicle-mounted display terminal can interactively display the cause of congestion and related road pictures.

[0035] Specifically, the cloud platform locates the vehicle through the positioning navigation device, and periodically receives the location information sent by each car. Based on data analysis, the congestion degree of each road section is determined, the congested road section is determined, and the vehicles in the congested road section are located. The system automatically extracts the dashcam images of the corresponding cars in the congested road section and uploads them to the cloud in real time. The cloud platform automatically detects the dashcam monitoring images of the vehicles in front of the congested road section according to the vehicle positioning, and uploads the real-time images to the cloud. The vehicle is equipped with an on-board TBOX, which uploads the road images collected by the dashcam to the cloud platform, and sends the road images of the congested road section sent by the cloud platform to the on-board display terminal for display. The system enables the driver behind the congested road section to see the images of the vehicles in front, without the need for the driver of the vehicle in front of the congested road section to manually upload the cause of the congestion. The system automatically locates and captures, which can improve the intelligence of road congestion data collection and improve the convenience of the driver to view the road ahead.

[0036] The system also includes: a vehicle voice assistant; the vehicle display terminal is provided with the vehicle voice assistant, and when the user issues an instruction through the vehicle voice assistant to query the road picture of the congested section ahead, the vehicle voice assistant sends a congestion query request to the cloud platform after receiving the instruction; the cloud platform sends the collected congested section picture to the corresponding vehicle according to the congestion query request.

[0037] In practical applications, such as Figure 2As shown in the figure, the vehicle behind the congested section can send a command through the voice assistant to query the dashcam image of the vehicle in front of the congested section, so as to meet the needs of the vehicle behind the congested section to analyze the cause of the congestion ahead and facilitate the driver to make subsequent travel arrangements. Users can send commands to the car voice assistant to query the real-time image of the congested section ahead, and the voice assistant will send a request to the cloud after receiving the command. Based on the sent congestion query request, the system first locates the congested section where the vehicle is located, and extracts the dashcam image of the vehicle in front of the congested section from the monitoring video library based on the vehicle location information.

[0038] Furthermore, the positioning and navigation device is provided with a Beidou navigation module or a GPS navigation module.

[0039] Furthermore, the driving recorder is provided with a mobile communication module, and the driving recorder is connected to the cloud platform through the mobile communication module, and sends relevant road images when receiving a request to send road images from the cloud platform.

[0040] Furthermore, the cloud platform is provided with a cloud server, and the cloud server is used to periodically receive location information and road images sent by each vehicle.

[0041] Furthermore, the cloud platform interacts with the navigation software database information. When the cloud platform receives the congestion query request, it obtains the map data, road condition information and road condition picture of the corresponding congested road section from the navigation software database, and sends them to the on-board display terminal of the corresponding vehicle for display.

[0042] It can be seen that the present invention provides a vehicle vision sharing system, which collects road images collected by the driving recorders of each vehicle on a congested road section through a cloud platform, and sends the road images and congestion information of the corresponding congested road section to the corresponding vehicle according to the congested road section query request sent by the vehicle. This solves the problem that existing vehicles cannot obtain congested road section images in real time, which easily causes the driver to be unable to view the cause of congestion ahead, can improve the intelligence of road congestion data collection, and improve the convenience of drivers to view the road ahead.

[0043] Accordingly, if Figure 3 As shown, the present invention also provides a vehicle vision sharing method, using the above-mentioned vehicle vision sharing system, comprising:

[0044] S1: Through vehicle positioning, the vehicle automatically detects the road images collected by the driving recorder of the vehicle ahead in the congested section, and uploads the road images to the cloud platform in real time.

[0045] S2: The cloud platform periodically receives the location information sent by each vehicle, determines the congestion level and congested sections of each road section based on data analysis, locates the vehicles in the congested sections, automatically extracts the road images collected by the driving recorders of the corresponding vehicles in the congested sections, and uploads them to the cloud in real time for storage.

[0046] S3: The cloud platform sends the road picture and congestion information of the corresponding congested road section to the on-board display terminal of the corresponding vehicle according to the congested road section query request sent by the vehicle.

[0047] The method also includes: the user can query the real-time picture of the congested road section ahead by issuing instructions to the vehicle voice assistant, and the vehicle voice assistant sends a congestion query request to the cloud after receiving the instructions.

[0048] The method also includes: the cloud locates the congested section where the corresponding vehicle is located according to the received congestion query request, and extracts the driving recorder image of the preceding vehicle in the corresponding congested section according to the vehicle position information, and sends it to the corresponding vehicle.

[0049] The method also includes: obtaining whether the user is satisfied with the road picture currently displayed by the vehicle-mounted display terminal, and if not, switching to displaying the road picture collected by the next front vehicle in the congested road section until the user is satisfied.

[0050] In practical applications, such as Figure 4 As shown, the extracted dashcam image of the vehicle at the front of the congested road section can be projected onto the right half of the vehicle screen of the vehicle that sent the request, and feedback to the voice assistant that it has been completed can be given. If the user is not satisfied with the image, he can continue to send instructions to the voice assistant to request a change, and the system will automatically switch to the monitoring image of the second front vehicle in the congested road section, and so on, until the user is satisfied. The user can switch to full screen mode and request to project multiple images at the same time. If the image is not needed, the user can send an instruction to the voice assistant to close the real-time monitoring image.

[0051] It can be seen that the present invention provides a vehicle vision sharing method, which collects the road images collected by the driving recorders of each vehicle on the congested road section through the cloud platform, and sends the road images and congestion information of the corresponding congested road section to the corresponding vehicle according to the congested road section query request sent by the vehicle. It solves the problem that the existing vehicles cannot obtain the congested road section images in real time, which easily causes the driver to be unable to view the cause of the congestion ahead, can improve the intelligence of road congestion road condition data collection, and improve the convenience of the driver to view the road ahead.

[0052] The above describes in detail the structure, features and effects of the present invention based on the embodiments shown in the drawings. The above is only a preferred embodiment of the present invention, but the present invention is not limited to the scope of implementation shown in the drawings. Any changes made in accordance with the concept of the present invention, or modifications to equivalent embodiments with equivalent changes, which still do not exceed the spirit covered by the description and drawings, should be within the protection scope of the present invention.

Claims

1. A vehicle vision sharing system, characterized in that: include: Driving recorder, vehicle-mounted TBOX, positioning navigation device, cloud platform and vehicle-mounted display terminal; The vehicle-mounted TBOX is respectively connected to the driving recorder, the positioning navigation device and the vehicle-mounted display terminal by signal, and the vehicle-mounted TBOX is connected to the cloud platform through a mobile network; When a road section is congested, the cloud platform determines the vehicles in the congested section through the vehicle position information reported by the positioning navigation device, and sends a road picture request instruction to the vehicles in the congested section to obtain the road picture in front of the vehicle collected by the driving recorder corresponding to the vehicle in the congested section, and analyzes the cause of the road congestion based on the summarized congested road picture, and then sends the congestion cause and related road pictures to the vehicles in the congested section; The vehicle-mounted display terminal can interactively display the cause of congestion and related road images.

2. The vehicle vision sharing system according to claim 1, characterized in that: Also includes: Car voice assistant; The vehicle-mounted display terminal is provided with the vehicle-machine voice assistant. When the user issues a command through the vehicle-machine voice assistant to query the road picture of the congested road section ahead, the vehicle-machine voice assistant sends a congestion query request to the cloud platform after receiving the command; The cloud platform sends the collected congested road section images to the corresponding vehicle according to the congestion query request.

3. The vehicle vision sharing system according to claim 2, characterized in that: The positioning and navigation device is provided with a Beidou navigation module or a GPS navigation module.

4. The vehicle vision sharing system according to claim 3, characterized in that: The driving recorder is provided with a mobile communication module, and the driving recorder is connected to the cloud platform through the mobile communication module, and sends the relevant road picture when receiving the road picture sending request from the cloud platform.

5. The vehicle vision sharing system according to claim 4, characterized in that: The cloud platform is provided with a cloud server, and the cloud server is used to periodically receive the location information and road pictures sent by each vehicle.

6. The vehicle vision sharing system according to claim 5, characterized in that: The cloud platform interacts with the navigation software database information. When the cloud platform receives the congestion query request, it obtains the map data, road condition information and road condition picture of the corresponding congested road section from the navigation software database, and sends them to the on-board display terminal of the corresponding vehicle for display.

7. A vehicle vision sharing method, using the vehicle vision sharing system according to any one of claims 1 to 6, characterized in that: include: Through vehicle positioning, the vehicle automatically detects the road images collected by the driving recorder of the vehicle ahead in the congested section, and uploads the road images to the cloud platform in real time; The cloud platform periodically receives the location information sent by each vehicle, determines the congestion degree and congested sections of each road section based on data analysis, locates the vehicles in the congested sections, automatically extracts the road images collected by the driving recorders of the corresponding vehicles in the congested sections, and uploads them to the cloud in real time for storage; The cloud platform sends the road picture and congestion information of the corresponding congested road section to the on-board display terminal of the corresponding vehicle according to the congested road section query request sent by the vehicle.

8. The vehicle vision sharing method according to claim 7, characterized in that: Also includes: The user can query the real-time image of the congested road ahead by sending instructions to the car voice assistant. After receiving the instructions, the car voice assistant sends a congestion query request to the cloud.

9. The vehicle vision sharing method according to claim 8, characterized in that: Also includes: The cloud locates the congested section where the corresponding vehicle is located according to the received congestion query request, extracts the dashcam image of the preceding vehicle in the corresponding congested section according to the vehicle position information, and sends it to the corresponding vehicle.

10. The vehicle vision sharing method according to claim 9, characterized in that: Also includes: Obtain whether the user is satisfied with the road picture currently displayed by the vehicle-mounted display terminal. If not, switch to the road picture collected by the next front vehicle in the congested section until the user is satisfied.

Images