Master Thesis

Lane Detection for Automated Driving, a Reference Perception System

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  • Started: 01/05/2022


Development of algorithms for lane detection and tracking from images and point clouds. The algorithms should combine information from different sensors and timestamps to achieve more robust results. The system will be integrated in a reference perception system that will be used to evaluate lane detection system and related ADAS functions (LDW, ALK, ...) on commercial vehicles.