Real-time lane detection and rear-end collision warning system on a mobile computing platform

Samuel Jia Wei Tang, Kok Yew Ng, Boon How Khoo, Jussi Paavo Samuli Parkkinen

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

16 Citations (Scopus)


Accident prevention systems have recently been a part of many modern cars to reduce injuries and casualties on the road. However, the high cost of components and equipment have limited such safety systems to higher-end and luxury vehicles. This paper proposes an economical method of using a smartphone application for real-time lane detection and rear-end collision warning system for drivers on the road. The Android-based application uses image-processing algorithms coupled with the monoscopic camera on the smartphone as the main sensor to perform lane and vehicle detections. The novelty of this work lies in the use of the monocular vision of the camera to estimate the distance with the vehicle up ahead. The system is able to distinguish unintentional lane departure and if the driver is traveling too close to the vehicle ahead. An acoustic warning will notify the driver of a potential accident.
Original languageEnglish
Title of host publicationProceedings of the 2015 IEEE 39th Annual Computer Software and Applications Conference Workshops
EditorsSheikh Iqbal Ahamed, Carl K Chang, William Chu, Ivica Crnkovic, Pao-Ann Hsiung, Gang Huang, Jingwei Yang
Place of PublicationNew Jersey USA
PublisherIEEE, Institute of Electrical and Electronics Engineers
Pages563 - 568
Number of pages6
Publication statusPublished - 2015
EventInternational Computer Software and Applications Conference 2015 - Taichung, Taiwan
Duration: 1 Jul 20155 Jul 2015
Conference number: 39th (Proceedings)


ConferenceInternational Computer Software and Applications Conference 2015
Abbreviated titleCOMPSAC 2015
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