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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Tao Wu Ranganathan, A. |
| Copyright Year | 2013 |
| Description | Author affiliation: Honda Res. Inst., Mountain View, CA, USA (Ranganathan, A.) || Dept. of Electr. & Comput. Eng., Univ. of Maryland, College Park, MD, USA (Tao Wu) |
| Abstract | Reliable lane-level localization is a requirement for many driver-assistance methods as well as for autonomous driving. Localization using cameras is desirable due to ubiquity and cheapness of sensors but is hard to achieve reliably. We propose a method towards reliable visual localization using traffic signs painted on the road such as arrows, pedestrian crossings, and speed limits. These road markings are relatively easily detected since they are designed to be highly conspicuous. Our method automatically recognizes road markings and uses features detected within them to compute the location of the vehicle. This provides an absolute global localization if the road markings have been surveyed before hand, and relative positioning information otherwise. We demonstrate using experiments and with groundtruth data that our method provides accurate lane-level visual localization under various lighting conditions and using various types of road markings. |
| Sponsorship | IEEE Intell. Transp. Syst. Soc. |
| Starting Page | 1185 |
| Ending Page | 1190 |
| File Size | 3945460 |
| Page Count | 6 |
| File Format | |
| ISSN | 19310587 |
| e-ISBN | 9781467327558 |
| DOI | 10.1109/IVS.2013.6629627 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2013-06-23 |
| Publisher Place | Australia |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Roads Global Positioning System Cameras Lighting Boosting Vehicles Estimation |
| Content Type | Text |
| Resource Type | Article |
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