Predictive virtual lane using relative motions between a vehicle and lanes

Young Seop Son, Seung Hi Lee, Chung Choo Chung

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

4 Scopus citations

Abstract

In this paper, we propose a new lane estimation method to resolve poor detection performance of a camera system using the relative movement between a vehicle and lanes. In implementation of lane keep system (LKS) or lane change control (LXC), it is necessary to build a robust sensing system in obtaining the road information. When reliable road information is not available, we need virtual lane information to control the steering system. Thus we propose a predictive virtual lane (PVL) method to improve lane detection performance using the relative movement between a vehicle and lanes. The proposed PVL enhances the control performance of LKS/LXC for a while even for the detection failures of one side and/or both side lane marks. The performance of the proposed method was evaluated via simulations implemented with CarSim and Matlab/Simulink. Its performance was also validated with a test vehicle on highway system.

Original languageEnglish
Title of host publication2013 IEEE Intelligent Vehicles Symposium, IEEE IV 2013
Pages771-776
Number of pages6
DOIs
StatePublished - 2013
Event2013 IEEE Intelligent Vehicles Symposium, IEEE IV 2013 - Gold Coast, QLD, Australia
Duration: 23 Jun 201326 Jun 2013

Publication series

NameIEEE Intelligent Vehicles Symposium, Proceedings

Conference

Conference2013 IEEE Intelligent Vehicles Symposium, IEEE IV 2013
Country/TerritoryAustralia
CityGold Coast, QLD
Period23/06/1326/06/13

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