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.
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© 2010 ICST Institute for Computer Science, Social Informatics and Telecommunications Engineering
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Ren, F., Huang, J., Terauchi, M., Jiang, R., Klette, R. (2010). Lane Detection on the iPhone. In: Huang, F., Wang, RC. (eds) Arts and Technology. ArtsIT 2009. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, vol 30. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-11577-6_25
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DOI: https://doi.org/10.1007/978-3-642-11577-6_25
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-11576-9
Online ISBN: 978-3-642-11577-6
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