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Adaptive speed tracking control for autonomous land vehicles in all-terrain navigation: An experimental study.

, , , , , and . J. Field Robotics, 30 (1): 102-128 (2013)

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Multi-agent reinforcement learning using ordinal action selection and approximate policy iteration., , and . Int. J. Wavelets Multiresolution Inf. Process., 14 (6): 1650053:1-1650053:18 (2016)Combining local trajectory planning and tracking control for autonomous ground vehicles navigating along a reference path., , , , and . ITSC, page 725-731. IEEE, (2014)Ribbon Model based path tracking method for autonomous land vehicle., , , , and . IROS, page 1220-1226. IEEE, (2012)Adaptive speed tracking control for autonomous land vehicles in all-terrain navigation: An experimental study., , , , , and . J. Field Robotics, 30 (1): 102-128 (2013)3D LIDAR-based ground segmentation., , , , and . ACPR, page 446-450. IEEE, (2011)SVM Based Lateral Control for Autonomous Vehicle., , , , and . ISNN (3), volume 3498 of Lecture Notes in Computer Science, page 185-191. Springer, (2005)Prediction of unintended lane departure based on virtual driver., , , , , and . ITSC, page 1727-1734. IEEE, (2011)Likelihood-Field-Model-Based Dynamic Vehicle Detection and Tracking for Self-Driving., , , , and . IEEE Trans. Intell. Transp. Syst., 17 (11): 3142-3158 (2016)A practical trajectory planning framework for autonomous ground vehicles driving in urban environments., , , , and . Intelligent Vehicles Symposium, page 1160-1166. IEEE, (2015)Tracking by Animation: Unsupervised Learning of Multi-Object Attentive Trackers., , , , and . CVPR, page 1318-1327. Computer Vision Foundation / IEEE, (2019)