DocumentCode
607665
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
fYear
2013
fDate
24-26 April 2013
Firstpage
1
Lastpage
4
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;
fLanguage
English
Publisher
ieee
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
Type
conf
DOI
10.1109/SIU.2013.6531314
Filename
6531314
Link To Document