Design and Development of In-Vehicle Lane Departure Warning System using Standard Global Positioning System Receiver

Muhammad Faizan, Shah Hussain, Imran Hayee

Research output: Contribution to journalArticlepeer-review

2 Scopus citations


A lane departure warning system is a critical element among advanced driver-assistance systems functions, which has significant potential to reduce crashes. Generally, lane departure warning systems use image processing or optical scanning techniques to detect a lane departure. These systems have some limitations, however, such as harsh weather or irregular lane markings having a negative influence on their performance. Integrating global positioning system (GPS) and digital maps of lane-level resolution with an image processing based lane detection system can improve its efficiency but make the overall system more complex and expensive. In this paper, a lane detection method is proposed which uses a standard GPS receiver without any lane-level resolution maps. The proposed algorithm determines the lateral shift of a vehicle by comparing the vehicle’s trajectory acquired by standard GPS receiver to the reference road direction. The reference road direction is extracted from a standard digital mapping database commonly available in any navigational device containing maps with only road-level information. Extensive field tests were performed to evaluate the efficiency of the proposed system. The field test results show that the proposed system can detect a true lane departure with an accuracy of almost 100%. Although no true lane departure was left undetected, occasional false lane departures were detected when the vehicle did not actually depart its lane. Furthermore, a modification in the proposed algorithm was also tested which has significant potential to reduce the frequency of false alarms.

Original languageEnglish (US)
Pages (from-to)648-656
Number of pages9
JournalTransportation Research Record
Issue number8
StatePublished - Aug 1 2019

Bibliographical note

Funding Information:
The authors acknowledge the Minnesota Department of Transportation (MnDOT) and Minnesota Local Research Board (LRRB) for funding this research.

Publisher Copyright:
© National Academy of Sciences: Transportation Research Board 2019.


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