A vision radar system for car safety driving applications

Chia Chi Tsai, Yi Ting Lai, Yuan Fu Li, Jiun-In  Guo

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

2 Scopus citations

Abstract

This paper presents a vision radar system (VRS) integrating Lane Departure Warning System (LDWS) and Forward Collision Warning System (FCWS) for car safety driving applications. A dynamic threshold, which improves the accuracy of lane and vehicle detection in various weather conditions, and multiple frame approval, which conquers the effect of some tough scenes, are proposed. The designed radar-map facilitates warning message issuing of safety distance for forward and potential cut-in vehicles. The proposed VRS can achieve 22 fps at 720×480 (D1) resolution on Freescale i.MX6 embedded platform.

Original languageEnglish
Title of host publication2017 International Symposium on VLSI Design, Automation and Test, VLSI-DAT 2017
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781509039692
DOIs
StatePublished - 5 Jun 2017
Event2017 International Symposium on VLSI Design, Automation and Test, VLSI-DAT 2017 - Hsinchu, Taiwan
Duration: 24 Apr 201727 Apr 2017

Publication series

Name2017 International Symposium on VLSI Design, Automation and Test, VLSI-DAT 2017

Conference

Conference2017 International Symposium on VLSI Design, Automation and Test, VLSI-DAT 2017
CountryTaiwan
CityHsinchu
Period24/04/1727/04/17

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