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Vision-Based Autonomous Path Following Using a Human Driver Control Model With Reliable Input-Feature Value Estimation.

, , and . IEEE Trans. Intelligent Vehicles, 4 (3): 497-506 (2019)

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C-DOC: Co-State Desensitized Optimal Control., , , and . CoRR, (2019)Machine learning guided exploration for sampling-based motion planning algorithms., and . IROS, page 2646-2652. IEEE, (2015)Sampling-based algorithms for optimal motion planning using closed-loop prediction., , and . ICRA, page 4991-4996. IEEE, (2017)Dynamic programming guided exploration for sampling-based motion planning algorithms., and . ICRA, page 4819-4826. IEEE, (2015)Multi-resolution H-cost motion planning: A new framework for hierarchical motion planning for autonomous mobile vehicles., and . IROS, page 3501-3506. IEEE, (2011)Real-time Implementation and Validation of a New Hierarchical Path Planning Scheme of UAVs via Hardware-in-the-Loop Simulation., , and . Journal of Intelligent and Robotic Systems, 54 (1-3): 163-181 (2009)Multiresolution Hierarchical Path-Planning for Small UAVs Using Wavelet Decompositions., , and . Journal of Intelligent and Robotic Systems, 66 (4): 505-522 (2012)Multiresolution Motion Planning for Autonomous Agents via Wavelet-Based Cell Decompositions., and . IEEE Trans. Syst. Man Cybern. Part B, 42 (5): 1455-1469 (2012)Optimal Stochastic Vehicle Path Planning Using Covariance Steering., and . IEEE Robotics Autom. Lett., 4 (3): 2276-2281 (2019)Optimal Controller Synthesis and Dynamic Quantizer Switching for Linear-Quadratic-Gaussian Systems., and . IEEE Trans. Autom. Control., 67 (1): 382-389 (2022)