Adaptive unstructured road detection using close range stereo vision

Date

2013-06-26

Author

ÖZÜTEMİZ, Kadri Bugra
Hacinecipoglu, AKİF
Koku, Ahmet Buğra
Konukseven, Erhan İlhan

Metadata

Show full item record

This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.

Item Usage Stats

1
views

0
downloads

Detection of road regions is not a trivial problem especially in unstructured and/or off-road domains since traversable regions of these environments do not have common properties unlike urban roads or highways. In this paper a novel unstructured road detection algorithm that can continuously learn the road region is proposed. The algorithm gathers close-range stereovision data and uses this information to estimate the long-range road region. The experiments show that the algorithm gives satisfactory results even under changing light conditions.

Subject Keywords

Road detection, Stereo vision, Unstructured roads, Traversibility, Continuous learning, Near-to-far learning

URI

https://hdl.handle.net/11511/36471

Collections

Department of Mechanical Engineering, Conference / Seminar