@inproceedings{4711d28567394dbd9570b8af58572e6e,
title = "Parallel hough space image generation method for real-time lane detection",
abstract = "This paper proposes a new parallelization method to generate Hough space images for real-time lane detection, using the new NVIDIA Jetson TK1 board. The computation cost in Standard Hough Transform is relatively high due to its higher amount of unnecessary operations. Therefore, in this paper, we introduce an enhanced Hough image generation method to reduce computation time for real-time lane detection purposes, and reduce all the unnecessary operations exist in the Standard method. We implemented our proposed method in both CPU and GPU based platforms and compared the processing speeds with the Standard method. The experiment results induce that the proposed method runs 10 times faster than the existing method in CPU platform, whereas 60 times faster in the GPU platform.",
keywords = "Advance driver assistant system(ADAS), CUDA, Hough space image, Lane departure warning system(LDWS), Lane detection",
author = "Kim, {Hee Soo} and Beak, {Seung Hae} and Park, {Soon Yong}",
note = "Publisher Copyright: {\textcopyright} Springer International Publishing AG 2016.; 17th International Conference on Advanced Concepts for Intelligent Vision Systems, ACIVS 2016 ; Conference date: 24-10-2016 Through 27-10-2016",
year = "2016",
doi = "10.1007/978-3-319-48680-2_8",
language = "English",
isbn = "9783319486796",
series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",
publisher = "Springer Verlag",
pages = "81--91",
editor = "Cosimo Distante and Dan Popescu and Paul Scheunders and Wilfried Philips and Jacques Blanc-Talon",
booktitle = "Advanced Concepts for Intelligent Vision Systems - 17th International Conference, ACIVS 2016, Proceedings",
address = "Germany",
}