Camera-Based Lane Offset Control Using Leading Vehicle Cues
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Solution Overview
Problem
Current autonomous vehicle navigation systems face challenges in accurately identifying and responding to various environmental factors such as lane boundaries, obstacles, and traffic signals, which can lead to unsafe navigation and collisions.
Innovation Solution
A camera-based system that uses multiple cameras with different fields of view to perform monocular and stereo image analysis, enabling the vehicle to detect lane markings, obstacles, traffic signals, and other road features, and adjust its navigation accordingly, including lane offset and default lane selection.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Device complexity
If a single camera is used for autonomous navigation, then device complexity is reduced, but measurement precision and reliability of environmental factor identification deteriorate
Solution Approach 1:
The patent combines multiple cameras (front-facing, side-facing, rear-facing) into an integrated imaging system that captures comprehensive environmental data. This merging of multiple sensing elements improves measurement precision for lane boundary detection and obstacle identification while maintaining systematic complexity through unified processing architecture
2Measurement precision
If multiple cameras with different fields of view are used, then measurement precision and coverage are improved, but device complexity increases
Solution Approach 1:
The patent segments the imaging function across multiple cameras with specialized fields of view (front, side, rear) to optimize detection precision for different environmental factors. Each camera captures specific spatial zones, and the processing system segments analysis by vehicle orientation and environmental factor type, managing complexity through structured division of sensing and processing tasks
3Reliability
If real-time image analysis is performed, then navigation safety is improved, but processing time and computational resources increase
Solution Approach 1:
The system performs preliminary actions by continuously capturing and pre-processing images from multiple cameras, pre-identifying potential environmental factors before critical navigation decisions are required. This allows real-time safety analysis by having processed data ready for immediate evaluation when navigation actions are needed
Data Source
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AI summary
Systems and methods use cameras to provide autonomous navigation features. In one implementation, a driver assist navigation system is provided for a primary vehicle. The system may include at least one image capture device configured to acquire a plurality of images of an area in a vicinity of the primary vehicle; a data interface; and at least one processing device. The at least one processing device may be configured to: locate in the plurality of images a leading vehicle; determine, based on the plurality of images, at least one action taken by the leading vehicle; and cause the primary vehicle to mimic the at least one action of the leading vehicle.