Title :
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
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;
Conference_Titel :
Computer Applications and Industrial Electronics (ICCAIE), 2010 International Conference on
Conference_Location :
Kuala Lumpur
Print_ISBN :
978-1-4244-9054-7
DOI :
10.1109/ICCAIE.2010.5735015
