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Human-like behavior generation for intelligent vehicles in urban environment based on a hybrid potential map.

, , , , and . Intelligent Vehicles Symposium, page 197-203. IEEE, (2017)

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A Multimodal ADAS System for Unmarked Urban Scenarios Based on Road Context Understanding., , , and . IEEE Trans. Intell. Transp. Syst., 16 (4): 1690-1704 (2015)Toward human-like lane following behavior in urban environment with a learning-based behavior-induction potential map., , , , , and . ICRA, page 1409-1416. IEEE, (2017)Automatic lane-level map generation for advanced driver assistance systems using low-cost sensors., , , and . ICRA, page 3975-3982. IEEE, (2014)Environment Adaptive Pedestrian Detection using In-vehicle Camera and GPS., , , , , and . VISAPP (2), page 354-361. SciTePress, (2014)Vehicle Ego-Localization by Matching In-Vehicle Camera Images to an Aerial Image., , , , , , and . ACCV Workshops (2), volume 6469 of Lecture Notes in Computer Science, page 163-173. Springer, (2010)Detection of pedestrians in road context for intelligent vehicles and advanced driver assistance systems., , , and . ITSC, page 1161-1166. IEEE, (2013)Road ortho-image generation based on accurate vehicle trajectory estimation by GPS Doppler., , , and . Intelligent Vehicles Symposium, page 276-281. IEEE, (2012)A Novel Method of Vehicle Trajectory Estimation with Portable Navigation Device for Dense Urban Environments., , and . IEICE Trans. Fundam. Electron. Commun. Comput. Sci., 99-A (1): 235-242 (2016)Road marking recognition for map generation using sparse tensor voting., , , and . ICPR, page 1132-1135. IEEE Computer Society, (2012)SpaFIND: An Effective and Low-Cost Feature Descriptor for Pedestrian Protection Systems in Economy Cars., , , , and . IEEE Trans. Intelligent Vehicles, 2 (2): 123-132 (2017)