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Self-learning Road Detection with Stereo Vision
Date
2013-04-26
Author
Ozutemiz, Kadri Bugra
Hacinecipoglu, Akif
Koku, Ahmet Buğra
Konukseven, Erhan İlhan
Metadata
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This work is licensed under a
Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License
.
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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.
Subject Keywords
Near-to-far learning
,
Continuous learning
,
Traversibilit
,
Unstructured roads
,
Stereo vision
,
Road detection
URI
https://hdl.handle.net/11511/36715
DOI
https://doi.org/10.1109/siu.2013.6531314
Collections
Department of Mechanical Engineering, Conference / Seminar