UNMC-VIER AutoVision database

Author

Lim, King Hann ; Le Ngo, Anh Cat ; Seng, Kah Phooi ; Ang, Li-Minn

Author_Institution

Fac. of Eng., Univ. of Nottingham, Semenyih, Malaysia

fYear

2010

fDate

5-8 Dec. 2010

Firstpage

650

Lastpage

654

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.

Keywords

driver information systems; image sensors; object detection; video databases; video signals; UNMC-VIER AutoVision database; University of Nottingham Malaysia Campus; Visual Information Engineering Research; automotive technology; automotive vision database; driver assistance system; traffic signs; vehicle detection; Automotive engineering; Cameras; Databases; Roads; Vehicles; Video equipment; Videos; Automotive; database; lane detection; traffic sign; vehicle detection;

fLanguage

English

Publisher

ieee

Conference_Titel

Computer Applications and Industrial Electronics (ICCAIE), 2010 International Conference on

Conference_Location

Kuala Lumpur

Print_ISBN

978-1-4244-9054-7

Type

conf

DOI

10.1109/ICCAIE.2010.5735015

Filename

5735015