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This document presents a real-time lane marking detection method for autonomous driving using LiDAR point clouds, aimed at improving detection efficiency and precision. The proposed method employs a constrained RANSAC algorithm for region selection, a curb detection algorithm based on segment point density, and an adaptive threshold selection for identifying lane markings. Evaluation on five datasets under various driving conditions demonstrates the effectiveness and feasibility of the approach, highlightin

Author

Ayush

Language

EN