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Camera-based lane detection algorithms are one of the key enablers for many semi-autonomous and fullyautonomous systems, ranging from lane keep assist to level-5 automated vehicles. Positioning a vehicle between lane boundaries is the core navigational aspect of a self-driving car. Even though this should be trivial, given the clarity of lane markings on most standard roadway systems, the process is typically mired with tedious pre-processing and computational effort. We present an approach todoi:10.1109/cvprw.2016.12 dblp:conf/cvpr/GurghianKBCM16 fatcat:6w5fn72rr5bbxpaedxjnr4ssyq