On-Board Driver Assistance System for Lane Departure Warning and Vehicle Detection
| Autor: | Ali Seydi Keceli, Hamdi Yalin Yalic, Aydin Kaya |
|---|---|
| Rok vydání: | 2013 |
| Předmět: |
Lane departure warning system
Engineering business.industry Computer vision and image processing Real-time computing ComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION Automotive industry ComputerApplications_COMPUTERSINOTHERSYSTEMS On board Single-board computer Vehicle detection business Intelligent transportation system Inattentive Driving Simulation |
| Zdroj: | International Journal of Electrical Energy. 1:132-136 |
| ISSN: | 2301-3656 |
| DOI: | 10.12720/ijoee.1.3.132-136 |
| Popis: | Computer vision and image processing based intelligent transportation systems have become very popular for the last decade. Vehicle manufacturers and automotive industry are interested in vision-based systems. This kind of systems could warn drivers and prevent accidents caused by inattentive driving. This paper introduces a single-board computer system for lane departure warning and vehicle detection. Our system employs the lane departure warning system based on geometrical cues which is implemented widely in the literature. For vehicle detection, we propose a cascade object detector trained by using car rear images. Our main contribution is to implement our system on an embedded single board computer which runs in real time. This system can be mounted into the car with a camera and can be used in practice. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
|