Vehicle Control Device Lane Marking Selection
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Solution Overview
Problem
Existing vehicle control systems struggle to accurately identify and recognize the intended lane for travel at intersections with complex lane structures, where multiple branching lanes and complicated shapes make it difficult to differentiate between lane markings and other road features.
Innovation Solution
A vehicle control device that acquires lane shape data from map information and collates it with peripheral image data to select the appropriate lane markings for lane keeping, using techniques such as comparing the number of lane markings and curve approximation expressions to determine the intended lane, even in regions with striped zebra zones or diamond markings.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If lane markings are recognized by camera at intersections with multiple branching lanes, then lane detection coverage is improved, but lane identification accuracy deteriorates due to complicated lane shapes and multiple branching options
Solution Approach 1:
The patent combines map information (lane shape data) with camera recognition results (detected lane markings) to determine the intended lane. By merging these two data sources, the system overcomes the limitation of camera-only detection at complex intersections, achieving both wide detection coverage and high identification accuracy through data fusion
Solution Approach 2:
The patent introduces map information as an intermediary element to mediate between the camera detection and lane identification. The map data serves as a reference that helps disambiguate multiple branching lanes detected by the camera, enabling accurate lane identification without sacrificing detection coverage
2Device complexity
If camera-only lane detection is used, then device complexity is reduced, but reliability deteriorates in complex intersection scenarios
Solution Approach 1:
The patent makes the lane detection system multi-functional by enabling it to work with both camera data and map information. This universal approach allows the system to maintain reliability across different scenarios (simple roads and complex intersections) without requiring completely different detection mechanisms for each case
3Measurement precision
If map information is acquired prior to arrival at predetermined region, then lane recognition accuracy is improved in complex scenarios, but information processing time increases
Solution Approach 1:
The patent performs preliminary acquisition of map information before the vehicle arrives at the predetermined region (complex intersection). This advance preparation allows the system to have map data ready for immediate comparison with camera detection results, reducing real-time processing delays while maintaining high recognition accuracy
Data Source
AI summary
A vehicle control device includes a lane shape acquisition unit which acquires lane shape data of a lane of a predetermined region from map information, at a stage at which a host vehicle has arrived at the predetermined region or prior to the host vehicle arriving at the predetermined region, a peripheral image acquisition unit which acquires peripheral image data including lane markings of the predetermined region, and a lane marking selection unit which collates the acquired lane shape data with the peripheral image data, and from within the peripheral image data, selects lane markings to be used at least for lane keeping.