Multi-Focal Camera Selection for Signal Light Recognition
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Solution Overview
Problem
Cameras with a single focal length struggle to capture complete images of signal lights at crossroads, leading to incomplete or missed detections due to limited field of view, which affects recognition efficiency and accuracy.
Innovation Solution
A method and apparatus that select and utilize multiple cameras with different focal lengths to ensure complete coverage of signal lights by determining the appropriate camera based on position information and photographing parameters, allowing for accurate recognition of signal lights.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Area of stationary object
If a single camera with a single focal length is used, then the device complexity is reduced, but the field of view is limited leading to incomplete image capture of signal lights
Solution Approach 1:
The patent divides the camera system into multiple cameras with different focal lengths (e.g., wide-angle camera and telephoto camera). Each camera is responsible for capturing specific portions of the scene, with the wide-angle camera capturing the overall environment and the telephoto camera capturing detailed views of distant objects like signal lights. This segmentation allows the system to achieve both wide field of view and high detail capture without requiring a single complex camera.
Solution Approach 2:
The patent creates a multi-functional camera system where different cameras serve different functions based on their focal length characteristics. The system can automatically select which camera to use based on the distance and type of target object, making the overall system universal in handling various detection scenarios (close-range objects, distant objects, wide-area monitoring) using a set of standardized cameras with different focal lengths.
2Measurement precision
If multiple cameras with different focal lengths are deployed, then complete coverage of signal lights is achieved, but the device complexity increases
Solution Approach 1:
The patent implements a dynamic camera selection mechanism that automatically chooses the appropriate camera based on real-time conditions. The system calculates the distance to the target object and determines which focal length is most suitable for accurate detection. This dynamic adaptation allows the system to maintain high detection accuracy while avoiding the unnecessary complexity of manually configuring multiple cameras for different scenarios.
Solution Approach 2:
The patent employs feedback mechanisms where the system continuously monitors target object characteristics (distance, size, type) and adjusts camera selection accordingly. Based on the feedback from object detection algorithms and range estimation, the system selects the camera that will provide the optimal image quality for the specific detection task, thereby maintaining high measurement precision without requiring all cameras to be actively managed simultaneously.
3Area of stationary object
If a wide-angle camera is used to capture the entire crossroad, then the field of view is increased, but the image detail of distant signal lights becomes insufficient
Solution Approach 1:
The patent segments the imaging task by assigning different cameras to different spatial zones and detail requirements. The wide-angle camera captures the entire crossroad area, providing comprehensive coverage. Simultaneously, the telephoto camera focuses on specific distant regions where signal lights are located, capturing high-detail images. This segmentation allows both wide coverage and detailed capture to coexist without compromising either aspect.
Solution Approach 2:
The patent merges the outputs of multiple cameras with different focal lengths to create a comprehensive detection result. The wide-angle camera provides contextual information about the overall scene, while the telephoto camera provides detailed information about specific objects. By combining these complementary views, the system achieves both wide coverage area and high image detail quality for distant signal lights.
Data Source
AI summary
Embodiments of the present disclosure provide a method and an apparatus for recognizing an object, a device, a vehicle and a medium. The method includes: selecting a target camera matched with a target object from at least two cameras according to position information of the target object in a map and photographing parameters of the at least two cameras, in which, the at least two cameras has at least two focal lengths; controlling the target camera to photograph an image of the target object; and obtaining the image photographed by the target camera, and performing recognition on the image to recognize the target object.