Probabilistic collision estimation for tracked vehicles based on corner point self-activation approach

Computers & Electrical Engineering - Tập 74 - Trang 557-568 - 2019
P. Sathiya1, P. Anandhakumar1
1Department of Computer Technology, Anna University, MIT Campus, MIT Road, Post Radha Nagar, Chennai, Tamil Nadu 600044, India

Tài liệu tham khảo

Pangyu, 2006, Local difference probability (LDP)-based environment adaptive algorithm for an unmanned ground vehicle, IEEE Trans Intell Transp Syst, 7, 282, 10.1109/TITS.2006.880636 Yu, Huili, Kevin Meier, Matthew Argyle, and Randal W. Beard “Cooperative path planning for target tracking in urban environments using unmanned air and ground vehicles'' IEEE/ASME Trans Mechatron, vol. 20, no. 2, pp. 541–552, Apr. 2015. Gu, 2014, Collision-free multiple unmanned combat aerial vehicles cooperative trajectory planning for time-critical missions using differential flatness approach, Def Sci J, 64, 13, 10.14429/dsj.64.2999 Hong, 2008, Energy-based video tracking using joint target density processing with an application to unmanned aerial vehicle surveillance, IET Comput Vis, 2, 1, 10.1049/iet-cvi:20070017 Haleem, 2015, Analyzing pedestrian crash injury severity at signalized and non-signalized locations, Accid Anal Prev, 81, 14, 10.1016/j.aap.2015.04.025 Fisher, 2012, Advance yield markings and drivers’ performance in response to multiple-threat scenarios at mid-block crosswalks, Accid Anal Prev, 44, 35, 10.1016/j.aap.2010.11.030 Edara, 2015, Empirical evaluation of J-turn intersection performance analysis of conflict measures and crashes, Transp Res Rec J Transp Res Board, 2486, 11, 10.3141/2486-02 Shahdah F. Saccomanno, 2014, Integrated traffic conflict model for estimating crash modification factors, Accid Anal Prev, 71, 228, 10.1016/j.aap.2014.05.019 Zhang, 2013, Mining semantic context information for intelligent video surveillance of traffic scenes, IEEE Trans Ind Inf, 9, 149, 10.1109/TII.2012.2218251 Zhang, 2007, Real-time object classification in video surveillance based on appearance learning, 1 Wang, 2010, Locality-constrained linear coding for image classification, 3360 Kim, 2015, A novel on-road vehicle detection method using pi HOG, IEEE Trans Intell Transp Syst, 16, 3414, 10.1109/TITS.2015.2465296 Huan-Sheng, 2013, Vehicle behavior analysis using target motion trajectories, IEEE Trans Veh Technol, 63, 3580 Choi, 2015, Robust multi-person tracking for real-time intelligent video surveillance, ETRI J, 37, 551, 10.4218/etrij.15.0114.0629 Tian, 2014, Rear-view vehicle detection and tracking by combining multiple parts for complex urban surveillance, IEEE Trans Intell Transp Syst, 15, 597, 10.1109/TITS.2013.2283302 Hayward, 1972, Near-miss determination through use of a scale of danger, Highw Res Rec, 24 Yan, 2015, The prediction of vehicle collision risk in traffic conflict zone based on bayesian network, Appl Mech Mater, 744, 1953, 10.4028/www.scientific.net/AMM.744-746.1953 Hou, 2014, New algorithms for computing the time-to-collision in freeway traffic simulation models, Computational Intelligence Neuroscience, 2014, 1, 10.1155/2014/761047 Duan, 2017, Driver braking behavior analysis to improve autonomous emergency braking systems in typical Chinesevehicle-bicycle conflicts, Accid Anal Prev, 108, 74, 10.1016/j.aap.2017.08.022 Chung, 2018, Injury severity analysis in taxi-pedestrian crashes: an application of reconstructed crash data using a vehicle black box, Accid Anal Prev, 111, 345, 10.1016/j.aap.2017.10.016 Llorca, 2011, Autonomous pedestrian collision avoidance using a fuzzy steering controller, IEEE Trans Intell Transp Syst, 12, 390, 10.1109/TITS.2010.2091272 [Online]. Available: https://www.youtube.com/watch?v=yldSqu3WArw.