Title :
Self-learning road detection with stereo vision
Author :
Ozutemiz, K.B. ; Hacinecipoglu, Akif ; Koku, A.B. ; Konukseven, E.I.
Author_Institution :
Makine Muhendisligi Bolumu, Orta Dogu Teknik Univ., Ankara, Turkey
Abstract :
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.
Keywords :
learning (artificial intelligence); mobile robots; roads; stereo image processing; visual perception; mobile robot applications; self-learning road detection algorithm; stereo vision; Conferences; Histograms; Mobile robots; Navigation; Roads; Stereo vision; continuous learning; near-to-far learning; road detection; stereo vision; traversibility; unstructured roads;
Conference_Titel :
Signal Processing and Communications Applications Conference (SIU), 2013 21st
Conference_Location :
Haspolat
Print_ISBN :
978-1-4673-5562-9
Electronic_ISBN :
978-1-4673-5561-2
DOI :
10.1109/SIU.2013.6531314
