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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Son, T.T. Mita, S. Takeuchi, A. |
| Copyright Year | 2008 |
| Description | Author affiliation: Dept. of Electron. & Inf., Toyota Technol. Inst., Nagoya (Son, T.T.; Mita, S.; Takeuchi, A.) |
| Abstract | In this paper, a road detection method based on an image segmentation algorithm is presented. Road detection process is a key issue for an autonomous driving system in urban environment. Image-based road detection algorithm is applied on sources of visual information recorded by cameras when our car is running on road. Our method combines a posteriori probability and visual information for image segmentation. The method is composed of two steps. Firstly, a road identifier is trained with supervised learning algorithm. Secondly, road regions are detected by combining a posteriori probability and visual information using image segmentation algorithm. Experimental results are presented for road images in actual driving video acquired in urban areas. |
| Starting Page | 3018 |
| Ending Page | 3025 |
| File Size | 1721646 |
| Page Count | 8 |
| File Format | |
| ISBN | 9781424423835 |
| ISSN | 1062922X |
| DOI | 10.1109/ICSMC.2008.4811758 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2008-10-12 |
| Publisher Place | Singapore |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Roads Image segmentation Laser modes Robustness Detection algorithms Cameras Supervised learning Urban areas Surface texture Image edge detection road region Road detection image segmentation variance image |
| Content Type | Text |
| Resource Type | Article |
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