Real-time lane detection and tracking system using simple filter and Kalman filter
Authors:
- 1 July 2017
- conference paper
- Published by Institute of Electrical and Electronics Engineers (IEEE)
- p. 275-277
Abstract
In this paper, we propose a real-time lane detection and tracking algorithm using a simple filter and Kalman filter to develop a Lane Departure Warning System(LDWS) that can be implemented in an embedded system. Our LDWS was realized on the I.MX6Q board, mounted on a test vehicle, and traveled about 1,000km to derive the experimental results. Experimental results show that our LDWS operates at 97% detection rate in the day time and 95% in the night time. The average processing time of the our LDWS is about 15frame per seconds.Keywords
This publication has 4 references indexed in Scilit:
- Improved river flow and random sample consensus for curve lane detectionAdvances in Mechanical Engineering, 2015
- Real-time illumination invariant lane detection for lane departure warning systemExpert Systems with Applications, 2015
- Gradient-Enhancing Conversion for Illumination-Robust Lane DetectionIEEE Transactions on Intelligent Transportation Systems, 2013
- Real time detection of lane markers in urban streets2008