UNSPECIFIED (2005) Obstacle detection in urban traffic using stereovision. In: 8th IEEE International Conference on Intelligent Transportation Systems (ITSC 2005), SEP 13-16, 2005, Vienna, AUSTRIA.

Full text not available from this repository.

Abstract

Obstacle detection and classification in complex urban area are highly demanding, but desirable for protection of Vulnerable Road Users. This paper presents an in-vehicle stereovision-based system for short-range object detection. The basic principles have been given for designing the optical parameters of the system such as baseline, angular coverage, spatial resolution and dynamic range. A novel feature-indexed approach has been proposed to achieve fast and quality stereo matching. Consequently, the depth map is generated by reconstructing all image points into the world coordinates. Object segmentation based on the depth map makes use of 3-dimentional information of the objects, and enables reliable and robust object detection.

Item Type:	Conference Item (UNSPECIFIED)
Subjects:	Q Science > QA Mathematics > QA76 Electronic computers. Computer science. Computer software T Technology > TR Photography T Technology > TA Engineering (General). Civil engineering (General)
Journal or Publication Title:	2005 IEEE Intelligent Transportation Systems Conference (ITSC)
Publisher:	IEEE
ISBN:	0-7803-9215-9
Date:	2005
Number of Pages:	6
Page Range:	pp. 633-638
Publication Status:	Published
Title of Event:	8th IEEE International Conference on Intelligent Transportation Systems (ITSC 2005)
Location of Event:	Vienna, AUSTRIA
Date(s) of Event:	SEP 13-16, 2005
URI:	http://wrap.warwick.ac.uk/id/eprint/32635

Data sourced from Thomson Reuters' Web of Knowledge

Request changes to a record

Actions (login required)

View Item