Efficient Lane Detection and Tracking in Urban Environments
نویسندگان
چکیده
Lane detection in urban environments is a challenging task. That is mainly due to the non existence of unique models, poor quality of lane markings due to wear, occlusions due to the presence of traffic and complex road geometry. In this work we present a novel lane detection and tracking algorithm for urban road scenarios based on weak models, which is implemented by a particle filter. The algorithm is implemented and experiments were carried out on Sydney urban roads. The results show the robustness of the algorithm to the problems inherent in urban road environments.
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