Vehicle Travel Control With Camera Priority Over Outdated Maps
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Solution Overview
Problem
The accuracy of travel control in vehicles is compromised when map information and camera-captured information do not match, particularly due to changes in road infrastructure like road construction, leading to discrepancies in lane recognition.
Innovation Solution
A travel control apparatus and method that prioritizes camera recognition over map information when angular differences between recognized lanes and map information exceed certain thresholds in specific ranges ahead of the vehicle, allowing for adaptive travel mode switching between camera priority and combination modes to improve accuracy.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If map information is used for travel control, then travel control can be performed based on pre-stored road data, but accuracy deteriorates when road infrastructure changes (e.g., road construction) cause discrepancies between map information and actual road conditions
Solution Approach 1:
The system dynamically switches between combination mode and camera priority mode based on the detected angular difference between recognized lanes and map information. When the angular difference exceeds a threshold (indicating outdated map information), the system transitions from using map information to prioritizing real-time camera recognition, thereby adapting to changing road conditions and maintaining travel control accuracy
Solution Approach 2:
The system continuously monitors the angular difference between lanes recognized by the camera and lanes from map information. This feedback mechanism detects discrepancies caused by road infrastructure changes, triggering a mode switch from combination mode to camera priority mode when the angular difference exceeds the threshold, ensuring the system responds to actual road conditions
2Measurement precision
If camera recognition is prioritized over map information, then accuracy improves when road conditions change, but reliability may deteriorate when camera recognition fails or provides insufficient information
Solution Approach 1:
The system changes the operational parameter (mode of operation) based on the angular difference threshold. In combination mode, both map information and camera recognition are used with normal weighting. When the angular difference exceeds the threshold, the system switches to camera priority mode, changing the parameter weights to prioritize camera recognition results, thereby adapting to varying road condition scenarios
3Measurement precision
If the angular difference threshold is set low, then the system switches to camera priority mode frequently improving accuracy, but device complexity increases due to continuous mode switching
Solution Approach 1:
The system pre-establishes an angular difference threshold to determine when to switch modes. This preliminary parameter setting avoids the need for complex real-time decision algorithms, simplifying the control system while maintaining the ability to switch to camera priority mode when necessary (when angular difference exceeds the pre-set threshold)
Data Source
AI summary
There is provided a travel control apparatus. A control unit performs, based on a recognition result of a recognition unit and map information of a periphery of the moving body, travel control of the moving body. A first determination unit determines whether a first state is set. A second determination unit determines whether a second state is set. In at least one of a case in which the first determination unit determines that the first state is set and a case in which the second determination unit has determined that the second state is set, the control unit performs travel control prioritizing the recognition result of the recognition unit over the map information.