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dc.contributor.authorLim, Hann
dc.contributor.authorLe Ngo, A.
dc.contributor.authorSeng, K.
dc.contributor.authorAng, L.
dc.date.accessioned2017-01-30T11:42:56Z
dc.date.available2017-01-30T11:42:56Z
dc.date.created2016-09-12T08:36:34Z
dc.date.issued2010
dc.identifier.citationLim, H. and Le Ngo, A. and Seng, K. and Ang, L. 2010. UNMC-VIER AutoVision database, pp. 650-654.
dc.identifier.urihttp://hdl.handle.net/20.500.11937/14324
dc.identifier.doi10.1109/ICCAIE.2010.5735015
dc.description.abstract

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.

dc.titleUNMC-VIER AutoVision database
dc.typeConference Paper
dcterms.source.startPage650
dcterms.source.endPage654
dcterms.source.titleICCAIE 2010 - 2010 International Conference on Computer Applications and Industrial Electronics
dcterms.source.seriesICCAIE 2010 - 2010 International Conference on Computer Applications and Industrial Electronics
dcterms.source.isbn9781424490554
curtin.departmentCurtin Sarawak
curtin.accessStatusFulltext not available


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