Chinese Journal of Liquid Crystals and Displays, Volume. 35, Issue 1, 80(2020)
Vehicle behavior recognition based on lane information fusion
[1] [1] SIVARAMAN S, TRIVEDI M M. Looking at vehicles on the road: A survey of vision-based vehicle detection, tracking, and behavior analysis [J]. IEEE Transactions on Intelligent Transportation Systems, 2013, 14(4): 1773-1795.
[2] [2] ZHUH, YUEN K V, MIHAYLOVA L, et al. Overview of environment perception for intelligent vehicles [J]. IEEE Transactions on Intelligent Transportation Systems, 2017, 18(10): 2584-2601.
[3] [3] KASPERD, WEIDL G, DANG T, et al. Object-oriented Bayesian networks for detection of lane change maneuvers [J]. IEEE Intelligent Transportation Systems Magazine, 2012, 4(3): 19-31.
[4] [4] GADEPALLY V, KRISHNAMURTHY A, OZGUNER U. A framework for estimating driver decisions near intersections [J]. IEEE Transactions on Intelligent Transportation Systems, 2013, 15(2): 637-646.
[5] [5] SONGH S, LU S N, MA X, et al. Vehicle behavior analysis using target motion trajectories [J]. IEEE Transactions on Vehicular Technology, 2014, 63(8): 3580-3591.
[6] [6] PAN D, ZHENG Y P. Spatiotemporal evolution model of vehicular movement behavior under path constraints [J]. Acta Physica Sinica, 2015, 64(7): 078902. (in Chinese)
[7] [7] HUANG X, XIAO S D, SONG B. Detection of vehicle’s abnormal behaviors in surveillance video [J]. Computer Systems & Applications, 2018, 27(2): 125-131. (in Chinese)
[9] [9] VON GIOI R G, JAKUBOWICZ J, MOREL J M, et al. LSD: a fast line segment detector with a false detection control [J]. IEEE Transactions on Pattern Analysis and Machine Intelligence, 2010, 32(4): 722-732.
[10] [10] YUF, XIAN W Q, CHEN Y Y, et al. BDD100K: a diverse driving video database with scalable annotation tooling [J]. arXiv preprint arXiv: 1805.04687, 2018.
[11] [11] JUNGH, MIN J, KIM J. An efficient lane detection algorithm for lane departure detection [C]//Proceedings of 2013 IEEE Intelligent Vehicles Symposium (IV).Gold Coast, Australia: IEEE, 2013: 976-981.
[12] [12] HAN H, WANG S Y. Lane detection algorithm based on mixed Bézier curve model [J]. Computer Engineering and Design, 2018, 39(3): 732-737. (in Chinese)
[13] [13] YOOH, YANG U, SOHN K. Gradient-enhancing conversion for illumination-robust lane detection [J]. IEEE Transactions on Intelligent Transportation Systems, 2013, 14(3): 1083-1094.
[14] [14] QIAN J D, CHEN B, QIAN J Y, et al. Fast lane detection algorithm based on region of interest model [J]. Journal of University of Electronic Science and Technology of China, 2018, 47(3): 356-361. (in Chinese)
Get Citation
Copy Citation Text
SONG Shi-qi, PIAO Yan, WANG Jian. Vehicle behavior recognition based on lane information fusion[J]. Chinese Journal of Liquid Crystals and Displays, 2020, 35(1): 80
Category:
Received: Jul. 9, 2019
Accepted: --
Published Online: Mar. 10, 2020
The Author Email: SONG Shi-qi (songsq_email@163.com)