Research Article
Lane Detection on the iPhone
@INPROCEEDINGS{10.1007/978-3-642-11577-6_25, author={Feixiang Ren and Jinsheng Huang and Mutsuhiro Terauchi and Ruyi Jiang and Reinhard Klette}, title={Lane Detection on the iPhone}, proceedings={Arts and Technology. First International Conference, ArtsIT 2009, Yi-Lan, Taiwan, September 24-25, 2009, Revised Selected Papers}, proceedings_a={ARTSIT}, year={2012}, month={5}, keywords={Intelligent transportation system driver assistance lane detection iPhone Hough transform}, doi={10.1007/978-3-642-11577-6_25} }- Feixiang Ren
Jinsheng Huang
Mutsuhiro Terauchi
Ruyi Jiang
Reinhard Klette
Year: 2012
Lane Detection on the iPhone
ARTSIT
Springer
DOI: 10.1007/978-3-642-11577-6_25
Abstract
A robust and efficient lane detection system is an essential component of Lane Departure Warning Systems, which are commonly used in many vision-based Driver Assistance Systems (DAS) in intelligent transportation. Various computation platforms have been proposed in the past few years for the implementation of driver assistance systems (e.g., PC, laptop, integrated chips, PlayStation, and so on). In this paper, we propose a new platform for the implementation of lane detection, which is based on a mobile phone (the iPhone). Due to physical limitations of the iPhone w.r.t. memory and computing power, a simple and efficient lane detection algorithm using a Hough transform is developed and implemented on the iPhone, as existing algorithms developed based on the PC platform are not suitable for mobile phone devices (currently). Experiments of the lane detection algorithm are made both on PC and on iPhone.
