DepthFinder, a real-time depth detection system for aided driving

Author

Murphey, Y.L. ; Chen, J. ; Crossman, J. ; Zhang, J. ; Richardson, P. ; Sieh, L.

Author_Institution

Dept. of Electr. & Comput. Eng., Michigan Univ., Dearborn, MI, USA

fYear

2000

fDate

2000

Firstpage

122

Lastpage

127

Abstract

Many military applications require the distance information from a moving vehicle to targets from video image sequences. For indirect driving, lack of perception of depth in view hinders steering and navigation. In this paper we present a real-time depth detection system DepthFinder, a system that finds the distances of objects through a monocular vision model. DepthFinder can be used with a camera mounted either at the front of side of a moving vehicle. A real-time matching algorithm is introduced to improve the matching performance by several orders of magnitude. The experiment results and the performance analysis are presented

Keywords

computer vision; computerised navigation; image matching; image sequences; motion estimation; real-time systems; road vehicles; DepthFinder; computer vision; depth detection system; image matching; image sequences; monocular vision model; navigation; real-time system; road vehicles; steering; Application software; Cameras; Equations; Image sequences; Lenses; Military computing; Navigation; Real time systems; Stereo vision; Vehicles;

fLanguage

English

Publisher

ieee

Conference_Titel

Intelligent Vehicles Symposium, 2000. IV 2000. Proceedings of the IEEE

Conference_Location

Dearborn, MI

Print_ISBN

0-7803-6363-9

Type

conf

DOI

10.1109/IVS.2000.898329

Filename

898329