Real-time implementation of vision-based lane detection and tracking
This paper presents a real-time implementation on lane detection and tracking system in order to localize lane boundaries and estimate a linear-parabolic lane model. It is realized using TMS320DM642 DSP board. Video frame is first captured with CCD camera and stored in video port buffer. Next, input...
| Main Authors: | , , , |
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| Format: | Conference Paper |
| Published: |
2009
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| Online Access: | http://hdl.handle.net/20.500.11937/5336 |
| _version_ | 1848744768758087680 |
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| author | Lim, Hann Seng, K. Le Ngo, A. Ang, L. |
| author_facet | Lim, Hann Seng, K. Le Ngo, A. Ang, L. |
| author_sort | Lim, Hann |
| building | Curtin Institutional Repository |
| collection | Online Access |
| description | This paper presents a real-time implementation on lane detection and tracking system in order to localize lane boundaries and estimate a linear-parabolic lane model. It is realized using TMS320DM642 DSP board. Video frame is first captured with CCD camera and stored in video port buffer. Next, input image is split into sky and road region with horizon localization. Lane analysis is applied on the road region to remove road pixels. Only lane markings are the interests for the lane detection process. Once lane boundaries are located, the possible edge pixels are scanned to continuously obtain the lane model. Linear-parabolic model is used to construct the geometry of the lane. The model parameters are updated with Kalman filtering. Video sequences are tested to verify the performance of the system and it has good performance. © 2009 IEEE. |
| first_indexed | 2025-11-14T06:06:43Z |
| format | Conference Paper |
| id | curtin-20.500.11937-5336 |
| institution | Curtin University Malaysia |
| institution_category | Local University |
| last_indexed | 2025-11-14T06:06:43Z |
| publishDate | 2009 |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | curtin-20.500.11937-53362017-09-13T14:41:03Z Real-time implementation of vision-based lane detection and tracking Lim, Hann Seng, K. Le Ngo, A. Ang, L. This paper presents a real-time implementation on lane detection and tracking system in order to localize lane boundaries and estimate a linear-parabolic lane model. It is realized using TMS320DM642 DSP board. Video frame is first captured with CCD camera and stored in video port buffer. Next, input image is split into sky and road region with horizon localization. Lane analysis is applied on the road region to remove road pixels. Only lane markings are the interests for the lane detection process. Once lane boundaries are located, the possible edge pixels are scanned to continuously obtain the lane model. Linear-parabolic model is used to construct the geometry of the lane. The model parameters are updated with Kalman filtering. Video sequences are tested to verify the performance of the system and it has good performance. © 2009 IEEE. 2009 Conference Paper http://hdl.handle.net/20.500.11937/5336 10.1109/IHMSC.2009.214 restricted |
| spellingShingle | Lim, Hann Seng, K. Le Ngo, A. Ang, L. Real-time implementation of vision-based lane detection and tracking |
| title | Real-time implementation of vision-based lane detection and tracking |
| title_full | Real-time implementation of vision-based lane detection and tracking |
| title_fullStr | Real-time implementation of vision-based lane detection and tracking |
| title_full_unstemmed | Real-time implementation of vision-based lane detection and tracking |
| title_short | Real-time implementation of vision-based lane detection and tracking |
| title_sort | real-time implementation of vision-based lane detection and tracking |
| url | http://hdl.handle.net/20.500.11937/5336 |