UNMC-VIER AutoVision database
Designing a driver assistance system has become a trend in the automotive technology to improve the security and efficiency of driving. However, there is no standard on-road database to verify the performance and effectiveness of algorithms. In this paper, an automotive vision database is created to...
| Main Authors: | , , , |
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| Format: | Conference Paper |
| Published: |
2010
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| Online Access: | http://hdl.handle.net/20.500.11937/14324 |
| _version_ | 1848748593514545152 |
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| author | Lim, Hann Le Ngo, A. Seng, K. Ang, L. |
| author_facet | Lim, Hann Le Ngo, A. Seng, K. Ang, L. |
| author_sort | Lim, Hann |
| building | Curtin Institutional Repository |
| collection | Online Access |
| description | Designing a driver assistance system has become a trend in the automotive technology to improve the security and efficiency of driving. However, there is no standard on-road database to verify the performance and effectiveness of algorithms. In this paper, an automotive vision database is created to assist researchers analyzing their designed algorithm in a more convincing way. The UNMC-VIER AutoVision database composes of a series of single view videos embodying the information of traffic signs, vehicles and single/multiple lanes. In addition, multi-views videos, with the aid of three cameras are included in the database providing more visual information in the panoramic view of traffic scene for analysis. The standard setup and calibration of the database is discussed in the paper. Some applications are discussed along with the use of the database. © 2010 IEEE. |
| first_indexed | 2025-11-14T07:07:31Z |
| format | Conference Paper |
| id | curtin-20.500.11937-14324 |
| institution | Curtin University Malaysia |
| institution_category | Local University |
| last_indexed | 2025-11-14T07:07:31Z |
| publishDate | 2010 |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | curtin-20.500.11937-143242017-09-13T14:05:40Z UNMC-VIER AutoVision database Lim, Hann Le Ngo, A. Seng, K. Ang, L. Designing a driver assistance system has become a trend in the automotive technology to improve the security and efficiency of driving. However, there is no standard on-road database to verify the performance and effectiveness of algorithms. In this paper, an automotive vision database is created to assist researchers analyzing their designed algorithm in a more convincing way. The UNMC-VIER AutoVision database composes of a series of single view videos embodying the information of traffic signs, vehicles and single/multiple lanes. In addition, multi-views videos, with the aid of three cameras are included in the database providing more visual information in the panoramic view of traffic scene for analysis. The standard setup and calibration of the database is discussed in the paper. Some applications are discussed along with the use of the database. © 2010 IEEE. 2010 Conference Paper http://hdl.handle.net/20.500.11937/14324 10.1109/ICCAIE.2010.5735015 restricted |
| spellingShingle | Lim, Hann Le Ngo, A. Seng, K. Ang, L. UNMC-VIER AutoVision database |
| title | UNMC-VIER AutoVision database |
| title_full | UNMC-VIER AutoVision database |
| title_fullStr | UNMC-VIER AutoVision database |
| title_full_unstemmed | UNMC-VIER AutoVision database |
| title_short | UNMC-VIER AutoVision database |
| title_sort | unmc-vier autovision database |
| url | http://hdl.handle.net/20.500.11937/14324 |