Abstract
Road detection is an essential and important component in intelligent transportation system (ITS). Generally, most road detection methods are sensitive to variation of illumination which results in increasing false detection rate. In this paper, we propose an illumination invariant road detection method to deal with variation of illumination. We adopt learning method to estimate illumination invariant direction which is specified to road surface. Once this direction is estimated, we can classify image pixel as road or not. Incorporating scene layout of road image, we reduce false positive detection rate outside the road. Experimental results on real road scenes show that the effectiveness of the proposed method.
| Original language | English |
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| Title of host publication | 2011 14th International IEEE Conference on Intelligent Transportation Systems, ITSC 2011 |
| Pages | 1009-1014 |
| Number of pages | 6 |
| DOIs | |
| Publication status | Published - 2011 Dec 22 |
| Event | 14th IEEE International Intelligent Transportation Systems Conference, ITSC 2011 - Washington, DC, United States Duration: 2011 Oct 5 → 2011 Oct 7 |
Publication series
| Name | IEEE Conference on Intelligent Transportation Systems, Proceedings, ITSC |
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Other
| Other | 14th IEEE International Intelligent Transportation Systems Conference, ITSC 2011 |
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| Country | United States |
| City | Washington, DC |
| Period | 11/10/5 → 11/10/7 |
Fingerprint
All Science Journal Classification (ASJC) codes
- Automotive Engineering
- Mechanical Engineering
- Computer Science Applications
Cite this
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Illumination invariant road detection based on learning method. / Kim, Bongjoe; Son, Jongin; Sohn, Kwanghoon.
2011 14th International IEEE Conference on Intelligent Transportation Systems, ITSC 2011. 2011. p. 1009-1014 6082917 (IEEE Conference on Intelligent Transportation Systems, Proceedings, ITSC).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
TY - GEN
T1 - Illumination invariant road detection based on learning method
AU - Kim, Bongjoe
AU - Son, Jongin
AU - Sohn, Kwanghoon
PY - 2011/12/22
Y1 - 2011/12/22
N2 - Road detection is an essential and important component in intelligent transportation system (ITS). Generally, most road detection methods are sensitive to variation of illumination which results in increasing false detection rate. In this paper, we propose an illumination invariant road detection method to deal with variation of illumination. We adopt learning method to estimate illumination invariant direction which is specified to road surface. Once this direction is estimated, we can classify image pixel as road or not. Incorporating scene layout of road image, we reduce false positive detection rate outside the road. Experimental results on real road scenes show that the effectiveness of the proposed method.
AB - Road detection is an essential and important component in intelligent transportation system (ITS). Generally, most road detection methods are sensitive to variation of illumination which results in increasing false detection rate. In this paper, we propose an illumination invariant road detection method to deal with variation of illumination. We adopt learning method to estimate illumination invariant direction which is specified to road surface. Once this direction is estimated, we can classify image pixel as road or not. Incorporating scene layout of road image, we reduce false positive detection rate outside the road. Experimental results on real road scenes show that the effectiveness of the proposed method.
UR - http://www.scopus.com/inward/record.url?scp=83755163710&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=83755163710&partnerID=8YFLogxK
U2 - 10.1109/ITSC.2011.6082917
DO - 10.1109/ITSC.2011.6082917
M3 - Conference contribution
AN - SCOPUS:83755163710
SN - 9781457721984
T3 - IEEE Conference on Intelligent Transportation Systems, Proceedings, ITSC
SP - 1009
EP - 1014
BT - 2011 14th International IEEE Conference on Intelligent Transportation Systems, ITSC 2011
ER -