Lane Boundary Detection via Sensor-Map Integration
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Solution Overview
Problem
Conventional vehicle travel control systems face challenges in accurately detecting lane boundary lines, leading to increased costs due to the need for expensive sensors, and struggle with maintaining accurate positioning, which affects the reliability of lane information output.
Innovation Solution
A travel control apparatus that integrates lane boundary lines detected by sensors with map information using ambient detection sensors, GPS, and a control device, employing algorithms like ICP to align and cross-check sensor and map boundary lines, ensuring accurate output of lane information.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If expensive sensors are used to detect lane boundary lines with high accuracy, then measurement precision is improved, but manufacturing cost increases
Solution Approach 1:
The patent combines map information (from databases) with sensor detection results (from cameras or other detectors) to generate integrated lane boundary line information. This merging allows the system to achieve high detection accuracy without relying solely on expensive high-precision sensors, as the map data compensates for sensor limitations and reduces the performance requirements for individual sensors.
2Area of stationary object
If sensor detection range is extended to cover more area, then area of detection is improved, but detection accuracy decreases
Solution Approach 1:
By merging map information (which provides accurate lane boundary data over extended distances) with sensor detection results (which provide accurate local information), the system achieves both wide detection range and high detection accuracy. The map data fills in areas where sensor detection may be weak or inaccurate, while sensor data validates and updates the map information in real-time.
Data Source
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AI summary
A travel control method using a detector (110) is provided. The detector detects information on lane boundary lines of a lane around a subject vehicle as real boundary line information from an actual environment around the subject vehicle. The travel control method includes integrating the real boundary line information and map boundary line information to generate integrated boundary line information. The map boundary line information is information on the lane boundary lines of the lane included in map information. The travel control method further includes outputting the generated integrated boundary line information.