Vehicle Camera Field of View Orientation for Detection Precision
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Solution Overview
Problem
Current driving assistance systems face challenges in cost reduction and standardization, leading to compromises in field of view that degrade performance for certain functions, and existing solutions do not adequately address the need for multifunctionality and adaptability in vehicle sensors.
Innovation Solution
A detection method for motor vehicles that incorporates a headlight capable of modifying its light beam orientation and a camera with a predetermined field of vision, linked to a Dynamic Bending Light (DBL) device, which adjusts the camera's field of view based on driving state information, such as vehicle turn, environment, and speed, to enhance visibility and reduce dazzling risks.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of manufacture
If a fixed field of view is selected for the camera to standardize the sensor, then manufacturing cost is reduced and device complexity is lowered, but the field of view cannot be adapted to different driving situations, degrading detection precision and reliability
Solution Approach 1:
The camera is mounted on a movable platform that can dynamically adjust its field of view orientation based on driving conditions such as vehicle speed, steering angle, and ambient light levels. This dynamic adjustment allows the same standardized sensor to optimize detection precision for different situations without requiring multiple fixed sensors.
Solution Approach 2:
A single camera sensor serves multiple functions by adapting its field of view through the movable platform. The same sensor performs both daytime detection and nighttime detection tasks, replacing what would traditionally require separate fixed sensors for different driving conditions, thus reducing manufacturing cost while maintaining detection precision.
2Area of stationary object
If the camera field of view is widened to cover more areas, then detection coverage is improved, but the field of vision becomes less focused, reducing measurement precision for specific targets
Solution Approach 1:
The movable platform enables the camera to dynamically adjust its field of view orientation based on driving conditions. At low speeds, the camera orients to widen coverage for detecting pedestrians and obstacles. At high speeds, it focuses on the road ahead for precise target detection, thus adapting coverage and precision to operational context.
Solution Approach 2:
The system changes the orientation parameter of the camera field of view based on driving conditions. By adjusting the orientation angle according to vehicle speed, steering angle, and light conditions, the system optimizes both coverage area and detection precision for different operational scenarios.
3Adaptability or versatility
If a movable platform is added to adjust the camera field of view, then adaptability to different driving conditions is improved, but device complexity and manufacturing cost increase
Solution Approach 1:
The movable platform is designed to serve multiple sensor types (cameras, LIDAR, radar) with a single mechanical structure. This universal mounting system allows different sensors to share the same adjustment mechanism, reducing overall device complexity compared to having separate adjustment mechanisms for each sensor.
Solution Approach 2:
The camera is integrated with the movable platform that also supports other sensors, combining multiple sensing functions into a single adaptable assembly. This merging reduces the number of separate mechanical systems needed, thereby limiting the increase in device complexity while maintaining high adaptability.
4Object-affected harmful factors
If the camera orientation is fixed to match the headlight beam during bends, then dazzling risk is reduced, but the field of view cannot be optimized for other detection functions
Solution Approach 1:
The camera orientation is dynamically adjusted based on real-time driving conditions including vehicle speed, steering angle, and ambient light levels. During bends at low speed, the camera orients to reduce dazzling. During straight-line high-speed driving, it focuses on the road ahead. This dynamic adjustment allows the system to optimize for different functions at different times.
Solution Approach 2:
The system changes the camera orientation parameter based on multiple input parameters including speed, steering angle, and light conditions. By continuously adjusting this parameter according to the dominant operational context, the system balances dazzling reduction with detection optimization without being permanently fixed to one orientation.
Data Source
Figure 1A~4
Figure 2~3
AI summary
The invention relates to a detection method for a motor vehicle (V1), this method using at least one camera having a predetermined field of view, this method comprising the following steps: - receiving information representative of a driving state associated with the vehicle, - modifying the field of view of the camera, in particular its orientation, according to said information.