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Self-learning Road Detection with Stereo Vision

Ozutemiz, Kadri Bugra
Hacinecipoglu, Akif
Koku, Ahmet Buğra
Konukseven, Erhan İlhan
It is a hard to solve problem to detect traversable or road regions especially in unstructured roads or paths. In mobile robot applications, robots usually enter these kinds of roads and regions. To successfully complete its mission, it is important to find roads in these environments reliably. In this paper a novel unstructured road detection algorithm with the capability of learning road regions continuously is proposed.