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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Yan Jiang Feng Gao Guoyan Xu |
| Copyright Year | 2010 |
| Description | Author affiliation: School of Transportation Science and Engineering, Beihang University, Beijing, China (Yan Jiang; Feng Gao; Guoyan Xu) |
| Abstract | We presented a multiple-lane detection system in this paper. To cope with both straight and curved road, the system recognized the road type based on the vehicle's GPS position and digital map data, and designated different schemes for detection. Unlike the known systems that have treated lane marking as a single entity, this system focused on the inner edge of the stripe to locate a vehicle in a lane accurately. The camera's installation parameters, especially the pitch angle, were estimated using the real-time detection results to compensate for changes in the vehicle's pose. Using an “estimate-detect” style, adjacent-lane markings were detected even when they were partly blocked by other vehicles. |
| Starting Page | 1052 |
| Ending Page | 1056 |
| File Size | 827245 |
| Page Count | 5 |
| File Format | |
| ISBN | 9781424450367 |
| ISSN | 21533598 |
| DOI | 10.1109/PLANS.2010.5507334 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2010-05-04 |
| Publisher Place | USA |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Roads Vehicle detection Image edge detection Global Positioning System Calibration Curve fitting Transportation Automotive engineering Safety Feature extraction calibration of pitch angle Multiple lane detection inverse perspective mapping lateral position determination |
| Content Type | Text |
| Resource Type | Article |
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