Depth rendering for vehicle collision avoidance applications

Yeong Kang Lai*, Yu Chieh Chung, Jian Wen Li, Chih Ming Hwang

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

2 Scopus citations

Abstract

Stereo vision has been used in many different applications such as robot, entertainment, and electronics for car. Computation of the disparity map requires a large amount of computational resources because of high block-matching computations, especially on the high-resolution image pair. In this paper, we proposed an algorithm for computing the disparity map of a full HD image pair from left and right cameras in order to focus on the front end of collision avoidance which estimates the distance between object and camera on the car. Our system is designed to avoid the collision against object which includes horizontal displacement. Therefore, the target of the front end of system is to find out the position and movement of these objects.

Original languageEnglish
Title of host publicationDigest of Technical Papers - IEEE International Conference on Consumer Electronics
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages73-74
Number of pages2
ISBN (Electronic)9781479938308
DOIs
StatePublished - 18 09 2014
Event1st IEEE International Conference on Consumer Electronics - Taiwan, ICCE-TW 2014 - Taipei, Taiwan
Duration: 26 05 201428 05 2014

Publication series

NameDigest of Technical Papers - IEEE International Conference on Consumer Electronics
ISSN (Print)0747-668X

Conference

Conference1st IEEE International Conference on Consumer Electronics - Taiwan, ICCE-TW 2014
Country/TerritoryTaiwan
CityTaipei
Period26/05/1428/05/14

Bibliographical note

Publisher Copyright:
© 2014 IEEE.

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