Front surround view camera system with cooperative vehicle infrastructure assistance and vehicle

Abstract

The invention provides a vehicle-road cooperative assistance front look-around camera system and a vehicle, and relates to the technical field of vehicles. The system comprises a road condition acquisition module which is used for acquiring road condition information around a target vehicle in real time, and the road condition information at least comprises voice information and image information; the lifting control module is electrically connected with the road condition acquisition module and a target camera on the target vehicle, the lifting control module controls the target camera to execute a target action based on the road condition information, and the target action comprises the step of controlling the target camera to ascend and descend in the height direction of the target vehicle. The problem that in the prior art, due to the fact that a fixed camera cannot be adjusted in a self-adaptive mode according to dynamic changes of road conditions, real-time performance and accuracy are lacked is solved.

Description

Technical Field

[0001] The present invention relates to the field of vehicle technology, and in particular to a front surround view camera system and a vehicle with vehicle-road cooperative assistance. Background Art

[0002] In the current driving environment, facing complex and ever-changing road conditions, it is often difficult for drivers to obtain a clear and comprehensive view of the front through traditional vehicle-mounted camera systems. Especially in traffic congestion, poor road conditions or when passing through narrow sections, existing technologies cannot provide sufficient information to support driving decisions. In addition, due to the dynamic changes in road conditions during vehicle driving, the camera in a fixed state cannot meet the requirements of multi-directional and multi-angle exploration, and lacks real-time and accuracy. Summary of the invention

[0003] The main purpose of the present invention is to provide a front surround view camera system and vehicle with vehicle-road cooperative assistance, so as to solve the problem in the prior art that the fixed camera cannot be adaptively adjusted according to the dynamic changes of road conditions, resulting in lack of real-time performance and accuracy.

[0004] In order to achieve the above-mentioned purpose, according to one aspect of the present invention, a front surround view camera system assisted by vehicle-road collaboration is provided. The front surround view camera system assisted by vehicle-road collaboration includes: a road condition acquisition module, which is used to acquire the road condition information around the target vehicle in real time, wherein the road condition information at least includes: voice information and image information; a lifting control module, which is electrically connected to the road condition acquisition module and the target camera on the target vehicle, and the lifting control module controls the target camera to perform a target action based on the road condition information, wherein the target action includes controlling the target camera to rise and fall along the height direction of the target vehicle.

[0005] Further, when it is determined that the road condition information around the target vehicle is abnormal, the lifting control module controls the target camera on the target vehicle to rise to a preset observation position so that the target camera obtains image data of the road condition within a first preset distance range.

[0006] Furthermore, when it is determined that the road condition information around the target vehicle is normal, the lifting control module controls the target camera on the target vehicle to descend to an initial position so that the target camera obtains image data of the road condition within a second preset distance range, wherein the first preset distance is greater than the second preset distance.

[0007] Furthermore, the road condition acquisition module includes: a sensor sub-module, which is used to collect road condition information around the target vehicle; a data analysis algorithm sub-module, which performs data analysis based on the road condition information to obtain analysis result information, wherein the analysis result information at least includes: normal road condition information and abnormal road condition information.

[0008] Furthermore, the sensor submodule includes an optical sensor submodule and a radar submodule, wherein the optical sensor submodule is used to collect image data of obstacles around the target vehicle, and the radar submodule is used to collect radar data of obstacles around the target vehicle.

[0009] Furthermore, the road condition acquisition module also includes: a processing module, which is electrically connected to the sensor submodule, and the processing module is used to determine at least one road condition information including the shape and category of obstacles around the target vehicle based on the image data; and the processing module is used to determine at least one road condition information including the distance, direction and relative speed of obstacles around the target vehicle based on the radar data.

[0010] Furthermore, the front surround camera system with vehicle-road cooperative assistance also includes: a communication module, which is electrically connected to the road condition acquisition module, and the communication module is used to realize wireless communication between the target vehicle and surrounding vehicles, and the processing module is also used to send road condition information to surrounding vehicles through the communication module.

[0011] Furthermore, the front surround camera system with vehicle-road cooperative assistance also includes: an image processing module, the target camera is electrically connected to the image processing module, the image processing module is used to receive and process the image data transmitted by the target camera in real time, and generate a panoramic image or a forward view image through image stitching processing, enhancement processing and dynamic range adjustment.

[0012] Furthermore, the front surround camera system with vehicle-road collaboration assistance also includes: a user control interface module, the user control interface module is electrically connected to the lifting control module and the image processing module, the user control interface module includes buttons, a touch screen, and a voice control system, and the user control interface module controls the target camera to adjust the viewing angle according to the panoramic image or the front view image.

[0013] According to another aspect of the present invention, a control method for a front surround view camera system with vehicle-road collaborative assistance is provided. The front surround view camera system with vehicle-road collaborative assistance is the front surround view camera system with vehicle-road collaborative assistance of the above-mentioned embodiment.

[0014] According to another aspect of the present invention, a vehicle is provided, including a front surround view camera system with vehicle-road collaborative assistance, and the front surround view camera system with vehicle-road collaborative assistance is the front surround view camera system with vehicle-road collaborative assistance of the above-mentioned embodiment.

[0015] According to another aspect of the present invention, an electronic device is provided, comprising: a memory storing an executable program; and a processor for running the program, wherein the control method of the front surround camera system with vehicle-road cooperative assistance of the claim is executed when the program is running.

[0016] According to another aspect of the present invention, a computer-readable storage medium is provided, which includes a stored executable program, wherein when the executable program is running, the device where the computer-readable storage medium is located is controlled to execute the control method of the front surround camera system with vehicle-road collaborative assistance of the above-mentioned embodiment.

[0017] According to another aspect of the present invention, a computer program product is provided, including a computer program, which, when executed by a processor, implements the control method of the front surround view camera system with vehicle-road cooperative assistance of the above embodiment.

[0018] By applying the technical solution of the present invention, road condition information is obtained in real time through the road condition acquisition module, so that potential dangers and obstacles can be discovered in time. The target camera is arranged at the front of the vehicle, and the lifting control module can adjust the height of the target camera according to the road condition information to capture road condition images with different fields of view, thereby improving driving comfort, providing the driver with a full range of fields of view and safety information, and assisting the driver in judging the surrounding road conditions. The real-time performance and accuracy are improved, thereby improving the safety and efficiency of vehicle driving. BRIEF DESCRIPTION OF THE DRAWINGS

[0019] The drawings constituting a part of the present application are used to provide a further understanding of the present invention. The exemplary embodiments of the present invention and their descriptions are used to explain the present invention and do not constitute an improper limitation of the present invention. In the drawings:

[0020] Figure 1 A schematic structural diagram of a front surround view camera system for vehicle-road cooperative assistance according to the present invention is shown;

[0021] Figure 2 A schematic structural diagram of a road condition acquisition module of a front surround view camera system assisted by vehicle-road collaboration according to the present invention is shown;

[0022] Figure 3 A schematic structural diagram of a sensor submodule of a front surround view camera system assisted by vehicle-road collaboration according to the present invention is shown.

[0023] The above drawings include the following reference numerals:

[0024] 10. Road condition acquisition module;

[0025] 11. Sensor submodule;

[0026] 111. Optical sensor submodule;

[0027] 112. Radar submodule 112;

[0028] 12. Data analysis algorithm submodule;

[0029] 13. Processing module;

[0030] 20. Lifting control module;

[0031] 30. Target camera;

[0032] 40. Communication module;

[0033] 50. Image processing module;

[0034] 60. User control interface module. DETAILED DESCRIPTION

[0035] It should be noted that, in the absence of conflict, the embodiments and features in the embodiments of the present application can be combined with each other. The present invention will be described in detail below with reference to the accompanying drawings and in combination with the embodiments.

[0036] It should be noted that the terms used herein are only for describing specific embodiments and are not intended to limit the exemplary embodiments according to the present application. As used herein, unless the context clearly indicates otherwise, the singular form is also intended to include the plural form. In addition, it should be understood that when the terms "comprise" and / or "include" are used in this specification, it indicates the presence of features, steps, operations, devices, components and / or combinations thereof.

[0037] It should be noted that the terms "first", "second", etc. in the specification and claims of the present application and the above-mentioned drawings are used to distinguish similar objects, and are not necessarily used to describe a specific order or sequence. It should be understood that the terms used in this way can be interchangeable where appropriate, so that the embodiments of the present application described herein can be implemented in an order other than those illustrated or described herein, for example. In addition, the terms "including" and "having" and any of their variations are intended to cover non-exclusive inclusions, for example, a process, method, system, product or device that includes a series of steps or units is not necessarily limited to those steps or units that are clearly listed, but may include other steps or units that are not clearly listed or inherent to these processes, methods, products or devices.

[0038] Now, exemplary embodiments according to the present application will be described in more detail with reference to the accompanying drawings. However, these exemplary embodiments may be implemented in a variety of different forms and should not be construed as being limited to the embodiments described herein. It should be understood that these embodiments are provided to make the disclosure of the present application thorough and complete, and to fully convey the concepts of these exemplary embodiments to those of ordinary skill in the art. In the accompanying drawings, for the sake of clarity, the thickness of the layers and regions may be enlarged, and the same reference numerals are used to represent the same devices, and thus their descriptions will be omitted.

[0039] Combination Figures 1 to 3As shown, according to a specific embodiment of the present invention, a front surround view camera system for vehicle-road cooperative assistance is provided.

[0040] Specifically, Figure 1 As shown, the front surround camera system with vehicle-road cooperative assistance includes: a road condition acquisition module 10, which is used to acquire the road condition information around the target vehicle in real time, wherein the road condition information at least includes: voice information and image information; a lifting control module 20, which is electrically connected to the road condition acquisition module 10 and a target camera 30 on the target vehicle, and the lifting control module 20 controls the target camera 30 to perform a target action based on the road condition information, wherein the target action includes controlling the target camera 30 to rise and fall along the height direction of the target vehicle.

[0041] In this embodiment, the road condition acquisition module 10 acquires road condition information in real time, and potential dangers and obstacles can be discovered in time. The target camera 30 is arranged at the front of the vehicle, and the lifting control module 20 can adjust the height of the target camera 30 according to the road condition information to capture road condition images with different fields of view, thereby improving driving comfort, providing the driver with a full range of fields of view and safety information, and assisting the driver in judging the surrounding road conditions. The real-time and accuracy are improved, thereby improving the safety and efficiency of vehicle driving.

[0042] Further, when it is determined that the road condition information around the target vehicle is abnormal, the lifting control module 20 controls the target camera 30 on the target vehicle to rise to a preset observation position so that the target camera obtains image data of the road condition within a first preset distance range.

[0043] The first preset distance mentioned above represents a relatively long distance from the target vehicle. By automatically adjusting the camera position under abnormal road conditions, it can ensure that the driver or the automatic driving system obtains clearer and more comprehensive road information, thereby improving driving safety. The system can automatically adjust the camera position according to different road conditions to adapt it to various environments, such as maintaining good observation effects on highways, urban roads or complex terrains. The quality of the image data obtained by the target camera 30 is crucial for road condition analysis. By controlling the camera to rise to the preset observation position, it can ensure that the acquired image data has higher clarity and coverage, providing more accurate data for subsequent processing and analysis.

[0044] Furthermore, when it is determined that the road condition information around the target vehicle is normal, the lifting control module 20 controls the target camera 30 on the target vehicle to descend to an initial position so that the target camera 30 obtains image data of the road condition within a second preset distance range, wherein the first preset distance is greater than the second preset distance.

[0045] The second preset distance mentioned above indicates a relatively close distance to the target vehicle. After acquiring close-range image data at the initial position, the camera is raised to acquire image data at a longer distance, which can cope with changes in road conditions at different distances and improve the adaptability of the system. According to the difference between the first preset distance and the second preset distance, the system can dynamically adjust the viewing angle to adapt to different driving scenarios. Acquiring data at different distances can reduce misjudgments and missed judgments caused by a single viewing angle or distance, and improve the overall performance of the system.

[0046] like Figure 2 As shown, the road condition acquisition module 10 includes: a sensor submodule 11, the sensor submodule 11 is used to collect road condition information around the target vehicle; a data analysis algorithm submodule 12, the data analysis algorithm submodule 12 performs data analysis based on the road condition information to obtain analysis result information, wherein the analysis result information at least includes: normal road condition information and abnormal road condition information.

[0047] The sensor submodule 11 can collect the road condition information around the target vehicle in real time, including but not limited to road conditions, traffic flow, weather conditions, etc., to provide real-time data support for the driver. The data analysis algorithm submodule 12 performs in-depth analysis based on the collected road condition information, and can identify and distinguish normal road condition information from abnormal road condition information. This intelligent analysis capability enables the system to more accurately judge the current driving environment. The road condition acquisition module 10 realizes accurate capture and intelligent analysis of real-time road conditions through its sensor submodule and data analysis algorithm submodule, providing a series of technical effects for the driver, including improving driving safety, optimizing driving routes, supporting intelligent traffic management, etc.

[0048] like Figure 3 As shown, the sensor submodule 11 includes an optical sensor submodule 111 and a radar submodule 112, wherein the optical sensor submodule 111 is used to collect image data of obstacles around the target vehicle, and the radar submodule 112 is used to collect radar data of obstacles around the target vehicle.

[0049] By combining data from optical and radar sensors, the environment around the target vehicle can be more accurately identified and understood. This multi-source information fusion improves the ability to identify obstacles, especially in poor lighting conditions or when there are obstructions. Optical sensors are good at recognizing visual information such as color, shape, and texture, while radar sensors are highly accurate in measuring distance and speed. Combining the two can improve the accuracy of obstacle detection. In certain environmental conditions, a single type of sensor may be limited, such as in rainy days, foggy days, or at night when there is insufficient light. Using two sensors can complement each other and enhance the robustness of the system in various environmental conditions.

[0050] like Figure 2As shown, the road condition acquisition module 10 also includes: a processing module 13, the processing module 13 is electrically connected to the sensor submodule 11, the processing module 13 is used to determine at least one road condition information including the shape and category of obstacles around the target vehicle based on the image data, and the processing module 13 is used to determine at least one road condition information including the distance, direction and relative speed of obstacles around the target vehicle based on the radar data.

[0051] By integrating image data and radar data, it is possible to obtain more comprehensive obstacle information around the target vehicle, including multi-dimensional data such as shape, category, distance, direction and relative speed. The processing module 13 analyzes and processes the data collected by the sensor submodule 11, which can improve the accuracy of obstacle recognition, thereby providing a more reliable basis for subsequent decision-making. The processing module 13 can analyze sensor data in real time and provide real-time road condition information for the vehicle control system, which helps to improve the response speed and driving safety of the vehicle. By identifying the shape and category of obstacles, the processing module 13 can provide the vehicle with more intelligent driving assistance, such as automatic obstacle avoidance, intelligent navigation, etc.

[0052] like Figure 1 As shown, the front surround camera system with vehicle-road cooperative assistance also includes: a communication module 40, which is electrically connected to the road condition acquisition module 10, and the communication module 40 is used to realize wireless communication between the target vehicle and the surrounding vehicles. The processing module 13 is also used to send the road condition information to the surrounding vehicles through the communication module 40.

[0053] The communication module 40 enables vehicles to share information such as road conditions, traffic signals, accidents, etc. in real time, so that drivers can understand and respond to traffic conditions in a timely manner. By exchanging road condition information in real time, vehicles can better predict surrounding traffic conditions. Vehicles can optimize route selection and driving speed based on the received road condition information, reduce congestion, and improve the smoothness of traffic flow.

[0054] Furthermore, the front surround camera system with vehicle-road cooperative assistance also includes: an image processing module 50, the target camera 30 is electrically connected to the image processing module 50, the image processing module 50 is used to receive and process the image data transmitted by the target camera 30 in real time, and generate a panoramic image or a forward view image through image stitching processing, enhancement processing and dynamic range adjustment.

[0055] By receiving and processing image data in real time, the system can promptly detect changes in the vehicle's surroundings, helping the driver to better understand the surroundings and thus improving driving safety. Through image stitching, the system can integrate the perspectives of multiple cameras into a panoramic image or a front-view image, expanding the driver's field of view and reducing blind spots. Through enhanced processing and dynamic range adjustment, the system can improve image clarity and contrast, allowing the driver to obtain high-quality images under different lighting conditions and improve recognition accuracy.

[0056] Furthermore, the front surround camera system with vehicle-road collaboration assistance also includes: a user control interface module 60, the user control interface module 60 is electrically connected to the lifting control module 20 and the image processing module 50, the user control interface module 60 includes buttons, a touch screen, and a voice control system, and the user control interface module 60 controls the target camera 30 to adjust the viewing angle according to the panoramic image or the front view image.

[0057] The user control interface module 60 includes a variety of input methods such as buttons, touch screens, and voice control systems. Users can choose different operation methods, which improves the usability of the system. According to the panoramic image or the front view image, the user controls the target camera 30 through the user control interface module 60 to adjust the viewing angle, thereby achieving real-time observation of the vehicle's surroundings and improving driving safety. The user control interface module 60 is electrically connected to the lifting control module 20 and the image processing module 50, and can receive image information collected by the camera in real time, and make real-time adjustments according to the user's operation, thereby improving the response speed of the system.

[0058] According to another aspect of the present invention, a control method for a front surround view camera system assisted by vehicle-road collaboration is provided, and the front surround view camera system assisted by vehicle-road collaboration is the front surround view camera system assisted by vehicle-road collaboration of the above-mentioned embodiment. The front surround view camera system assisted by vehicle-road collaboration includes: a road condition acquisition module 10, the road condition acquisition module 10 is used to acquire the road condition information around the target vehicle in real time, wherein the road condition information at least includes: voice information, image information; a lifting control module 20, the lifting control module 20 is electrically connected to the road condition acquisition module 10 and the target camera 30 on the target vehicle, and the lifting control module 20 controls the target camera 30 to perform the target action based on the road condition information, wherein the target action includes controlling the target camera 30 to rise and fall along the height direction of the target vehicle.

[0059] The road condition acquisition module 10 acquires road condition information in real time, and can promptly detect potential dangers and obstacles. The target camera 30 is disposed at the front of the vehicle, and the lifting control module 20 can adjust the height of the target camera 30 according to the road condition information to capture road condition images of different fields of view, thereby improving driving comfort, providing the driver with a full range of vision and safety information, and assisting the driver in judging the surrounding road conditions. The real-time performance and accuracy are improved, thereby improving the safety and efficiency of vehicle driving.

[0060] According to another aspect of the present invention, a vehicle is provided, including a front surround view camera system assisted by vehicle-road collaboration, and the front surround view camera system assisted by vehicle-road collaboration is the front surround view camera system assisted by vehicle-road collaboration of the above-mentioned embodiment. The front surround view camera system assisted by vehicle-road collaboration includes: a road condition acquisition module 10, the road condition acquisition module 10 is used to acquire the road condition information around the target vehicle in real time, wherein the road condition information at least includes: voice information, image information; a lifting control module 20, the lifting control module 20 is electrically connected to the road condition acquisition module 10 and the target camera 30 on the target vehicle, and the lifting control module 20 controls the target camera 30 to perform the target action based on the road condition information, wherein the target action includes controlling the target camera 30 to rise and fall along the height direction of the target vehicle.

[0061] The road condition acquisition module 10 acquires road condition information in real time, and can promptly detect potential dangers and obstacles. The target camera 30 is disposed at the front of the vehicle, and the lifting control module 20 can adjust the height of the target camera 30 according to the road condition information to capture road condition images of different fields of view, thereby improving driving comfort, providing the driver with a full range of vision and safety information, and assisting the driver in judging the surrounding road conditions. The real-time performance and accuracy are improved, thereby improving the safety and efficiency of vehicle driving.

[0062] According to another aspect of the present invention, there is provided an electronic device, comprising: a memory storing an executable program; a processor for running the program, wherein when the program is running, the control method of the front surround camera system of the vehicle-road cooperative assistance of the above embodiment is implemented. The front surround camera system of the vehicle-road cooperative assistance includes: a road condition acquisition module 10, the road condition acquisition module 10 is used to acquire the road condition information around the target vehicle in real time, wherein the road condition information includes at least: voice information, image information; a lifting control module 20, the lifting control module 20 is electrically connected to the road condition acquisition module 10 and the target camera 30 on the target vehicle, and the lifting control module 20 controls the target camera 30 to perform the target action based on the road condition information, wherein the target action includes controlling the target camera 30 to rise and fall along the height direction of the target vehicle.

[0063] According to another aspect of the present invention, there is provided a computer-readable storage medium, the computer-readable storage medium including a stored executable program, wherein when the executable program is running, the device where the computer-readable storage medium is located is controlled to execute the control method of the front surround camera system with vehicle-road cooperative assistance of the above-mentioned embodiment. The front surround camera system with vehicle-road cooperative assistance includes: a road condition acquisition module 10, the road condition acquisition module 10 is used to acquire the road condition information around the target vehicle in real time, wherein the road condition information includes at least: voice information, image information; a lifting control module 20, the lifting control module 20 is electrically connected to the road condition acquisition module 10 and the target camera 30 on the target vehicle, and the lifting control module 20 controls the target camera 30 to perform the target action based on the road condition information, wherein the target action includes controlling the target camera 30 to rise and fall along the height direction of the target vehicle.

[0064] According to another aspect of the present invention, a computer program product is provided, including a computer program, which, when executed by a processor, implements the control method of the front surround view camera system with vehicle-road cooperative assistance of the above embodiment.

[0065] In some optional embodiments, the road condition acquisition module 10 exchanges information with the external roadside basic unit through the communication module 40. The roadside basic unit can collect surrounding traffic information (such as change points or dense subgraphs) through the Internet of Vehicles technology, and send the traffic information to the surrounding vehicles in real time. After the roadside basic unit detects the road traffic conditions, it transmits the analyzed rough prior information to its own vehicle through the Internet of Vehicles. The vehicle determines the general road conditions ahead based on the prior information and issues instructions to the front surround camera. In traffic monitoring, the change point may be manifested as a sharp drop in traffic speed (such as a sudden accident ahead), an abnormal increase in vehicle density (such as traffic congestion), or a sudden change in road conditions (such as road closures or temporary diversions). This type of change point data is essential for timely warning, traffic diversion and path planning. In traffic monitoring, a dense subgraph may be manifested as multiple roadside basic units or collaborative vehicles reporting slow movement or stopping at the same location at the same time, which may indicate a serious traffic accident or a large vehicle failure site. The analysis of dense subgraphs helps to quickly identify and locate these hot spots, so that corresponding measures can be taken. When the information transmitted by the roadside base unit contains a large amount of abnormal data, such as change points or dense sub-graphs, the lifting control mechanism will raise the front surround view camera to the predetermined optimal observation position, and the camera will automatically adjust the shooting angle to further capture clear images of the road conditions ahead.

[0066] The image processing unit receives and processes the image data sent back by the camera in real time, and generates high-definition panoramic or front view images through advanced image analysis technologies such as image stitching, enhancement processing and dynamic range adjustment, and displays them in real time on the on-board panoramic image interface. By viewing these images, the driver can clearly understand the road conditions ahead and make more accurate driving decisions. After viewing, the vehicle processing unit can issue instructions through the user control interface again to instruct the lifting and lowering control mechanism to accurately lower the camera back to its original position to restore normal driving conditions. In addition, the data analyzed by this vehicle will be further fed back to the roadside basic unit and the coordinated vehicle to further enhance the robustness and safety of the traffic system.

[0067] The serial numbers of the above embodiments of the present invention are only for description and do not represent the advantages or disadvantages of the embodiments.

[0068] In the above embodiments of the present invention, the description of each embodiment has its own emphasis. For parts that are not described in detail in a certain embodiment, reference can be made to the relevant descriptions of other embodiments.

[0069] In the several embodiments provided in this application, it should be understood that the disclosed technical content can be implemented in other ways. Among them, the device embodiments described above are only schematic. For example, the division of the units can be a logical function division. There may be other division methods in actual implementation. For example, multiple units or components can be combined or integrated into another system, or some features can be ignored or not executed. Another point is that the mutual coupling or direct coupling or communication connection shown or discussed can be through some interfaces, indirect coupling or communication connection of units or modules, which can be electrical or other forms.

[0070] The units described as separate components may or may not be physically separated, and the components shown as units may or may not be physical units, that is, they may be located in one place or distributed on multiple units. Some or all of the units may be selected according to actual needs to achieve the purpose of the present embodiment.

[0071] In addition, each functional unit in each embodiment of the present invention may be integrated into one processing unit, or each unit may exist physically separately, or two or more units may be integrated into one unit. The above-mentioned integrated unit may be implemented in the form of hardware or in the form of software functional units.

[0072] If the integrated unit is implemented in the form of a software functional unit and sold or used as an independent product, it can be stored in a computer-readable storage medium. Based on this understanding, the technical solution of the present invention, in essence, or the part that contributes to the prior art, or all or part of the technical solution can be embodied in the form of a software product, and the computer software product is stored in a storage medium, including a number of instructions for a computer device (which can be a personal computer, a server or a network device, etc.) to perform all or part of the steps of the method described in each embodiment of the present invention. The aforementioned storage medium includes: U disk, read-only memory (ROM, Read-Only Memory), random access memory (RAM, Random Access Memory), mobile hard disk, magnetic disk or optical disk and other media that can store program codes.

[0073] The above is only a preferred embodiment of the present invention. It should be pointed out that for ordinary technicians in this technical field, several improvements and modifications can be made without departing from the principle of the present invention. These improvements and modifications should also be regarded as the scope of protection of the present invention.

Claims

1. A front surround view camera system for vehicle-road cooperative assistance, characterized in that: include: A road condition acquisition module (10), the road condition acquisition module (10) being used to acquire road condition information around a target vehicle in real time, wherein the road condition information at least includes: voice information and image information; A lifting control module (20), the lifting control module (20) being electrically connected to the road condition acquisition module (10) and a target camera (30) on the target vehicle, the lifting control module (20) controlling the target camera (30) to perform a target action based on the road condition information, wherein the target action comprises controlling the target camera (30) to rise and fall along a height direction of the target vehicle.

2. The front surround view camera system for vehicle-road cooperative assistance according to claim 1, characterized in that: When it is determined that the road condition information around the target vehicle is abnormal, the lifting control module (20) controls the target camera (30) on the target vehicle to rise to a preset observation position so that the target camera obtains image data of the road condition within a first preset distance range.

3. The front surround view camera system for vehicle-road cooperative assistance according to claim 2, characterized in that: When it is determined that the road condition information around the target vehicle is normal, the lifting control module (20) controls the target camera (30) on the target vehicle to descend to an initial position so that the target camera (30) acquires image data of the road condition within a second preset distance range, wherein the first preset distance is greater than the second preset distance.

4. The front surround view camera system for vehicle-road cooperative assistance according to claim 1, characterized in that: The road condition acquisition module (10) comprises: A sensor submodule (11), the sensor submodule (11) being used to collect the road condition information around the target vehicle; A data analysis algorithm submodule (12), wherein the data analysis algorithm submodule (12) performs data analysis based on the road condition information to obtain analysis result information, wherein the analysis result information at least includes: normal road condition information and abnormal road condition information.

5. The front surround view camera system for vehicle-road cooperative assistance according to claim 4, characterized in that: The sensor submodule (11) comprises an optical sensor submodule (111) and a radar submodule (112), wherein the optical sensor submodule (111) is used to collect image data of obstacles around the target vehicle, and the radar submodule (112) is used to collect radar data of obstacles around the target vehicle.

6. The front surround view camera system for vehicle-road cooperative assistance according to claim 5, characterized in that: The road condition acquisition module (10) further includes: A processing module (13), the processing module (13) being electrically connected to the sensor submodule (11), the processing module (13) being used to determine at least one road condition information of a shape and a category of an obstacle around the target vehicle based on the image data, and the processing module (13) being used to determine at least one road condition information of a distance, a direction and a relative speed of the obstacle around the target vehicle based on the radar data.

7. The front surround view camera system for vehicle-road cooperative assistance according to claim 6, characterized in that: The front surround view camera system of the vehicle-road cooperative assistance further includes: A communication module (40), the communication module (40) being electrically connected to the road condition acquisition module (10), the communication module (40) being used to realize wireless communication between the target vehicle and surrounding vehicles, and the processing module (13) being further used to send the road condition information to surrounding vehicles via the communication module (40).

8. The front surround view camera system for vehicle-road cooperative assistance according to claim 2 or 3, characterized in that: The front surround view camera system of the vehicle-road cooperative assistance further includes: An image processing module (50), the target camera (30) being electrically connected to the image processing module (50), the image processing module (50) being used to receive and process the image data transmitted by the target camera (30) in real time, and to generate a panoramic image or a front view image through image stitching processing, enhancement processing and dynamic range adjustment.

9. The front surround view camera system for vehicle-road cooperative assistance according to claim 8, characterized in that: The front surround view camera system of the vehicle-road cooperative assistance further includes: A user control interface module (60), the user control interface module (60) being electrically connected to the lifting control module (20) and the image processing module (50), the user control interface module (60) comprising a button, a touch screen, and a voice control system, the user control interface module (60) controlling the target camera (30) to adjust the viewing angle according to the panoramic image or the front view image.

10. A vehicle, characterized in that: It comprises a front surround view camera system with vehicle-road cooperative assistance, and the front surround view camera system with vehicle-road cooperative assistance is the front surround view camera system with vehicle-road cooperative assistance as claimed in any one of claims 1 to 9.

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