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What is Lane Detection Algorithms for ADAS about?

This document summarizes and reviews various lane detection and tracking algorithms for advanced driver assistance systems. It discusses both feature-based and model-based approaches and compares the performance of algorithms that use techniques like Hough transforms, particle filtering, neural networks, and Kalman filtering. The document also outlines some of the challenges in developing robust lane detection, such as variable lane markers, shadows, vehicle occlusions, and changing visibility conditions du

Author

neme

Language

EN