Lane Estimation Control for Stable Vehicle Guidance at Intersections
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Solution Overview
Problem
Existing vehicle control systems face challenges in accurately recognizing lane markings and maintaining lane keeping control, especially in areas like intersections where no lane markings exist.
Innovation Solution
A vehicle control device and method that combines external recognition of lane markings, road shape information, and vehicle motion state data to improve lane recognition and keeping performance by estimating lane information, including curvature and relative positions, using a microcomputer-based control unit with sensors like stereo cameras, LiDAR, and GPS.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If lane markings are recognized based on images captured by an in-vehicle camera, then lane information can be obtained, but it becomes difficult to stably recognize lane markings with high accuracy and continue lane keeping control in places such as intersections where no lane markings exist
Solution Approach 1:
The patent combines multiple information sources (external recognition unit, road shape information acquisition unit, vehicle motion state detection unit) to estimate lane information. By merging camera-based lane marking recognition with road shape data and vehicle motion data, the system achieves stable lane keeping control even in areas without visible lane markings such as intersections.
Solution Approach 2:
The patent introduces lane information estimation as an intermediary process that bridges the gap between direct lane marking recognition and lane keeping control. The estimation unit processes data from multiple sources to generate reliable lane information when direct recognition fails, enabling continuous control.
2Measurement precision
If multiple information sources are combined to improve lane recognition performance, then recognition accuracy improves, but system complexity increases
Solution Approach 1:
The patent creates a multi-functional lane information estimation system where a single estimation unit handles multiple information sources (external recognition, road shape information, vehicle motion data). This universal approach allows the system to perform various functions (lane marking recognition, road following, intersection handling) through one integrated process, managing complexity while improving accuracy.
Data Source
AI summary
A vehicle control device, a vehicle control method, a vehicle motion control system, and a lane estimation device according to the present invention obtain first information on lane markings defining a lane in which a vehicle travels based on external information obtained from an external recognition unit, obtain second information on a curvature of the lane based on information on a road shape obtained from a road shape information acquisition unit, obtain third information on a behavior of the vehicle based on a physical quantity that is related to a motion state of the vehicle and obtained from a vehicle motion state detection unit, and estimate lane information including information on curvatures of the lane markings and information on relative positions of the vehicle with respect to the lane markings based on the first information, the second information, and the third information.