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PedVR: simulating gaze-based interactions between a real user and virtual crowds.

, , , , and . VRST, page 91-100. ACM, (2016)

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PedVR: simulating gaze-based interactions between a real user and virtual crowds., , , , and . VRST, page 91-100. ACM, (2016)AutonoVi: Autonomous vehicle planning with dynamic maneuvers and traffic constraints., , , and . IROS, page 2629-2636. IEEE, (2017)Simulating Movement Interactions Between Avatars & Agents in Virtual Worlds Using Human Motion Constraints., , and . VR, page 9-16. IEEE Computer Society, (2018)DenseSense: Interactive Crowd Simulation using Density-Dependent Filters., , , and . Symposium on Computer Animation, page 97-102. Eurographics Association, (2014)Incorporating Logic in Online Preference Learning for Safe Personalization of Autonomous Vehicles., , , , and . HSCC, page 5:1-5:11. ACM, (2024)AutonoVi-Sim: Autonomous Vehicle Simulation Platform With Weather, Sensing, and Traffic Control., , , , and . CVPR Workshops, page 1048-1056. Computer Vision Foundation / IEEE Computer Society, (2018)Using a novel data resource to explore heart rate during mountain and road running, and . Physiological Reports, 5 (8): e13256 (2017)MAVERIC: A Data-Driven Approach to Personalized Autonomous Driving., , , and . IEEE Trans. Robotics, (2024)Interactive Motion Planning for Multi-agent Systems with Physics-based and Behavior Constraints.. University of North Carolina, Chapel Hill, USA, (2018)base-search.net (ftcarolinadr:cdr.lib.unc.edu:qj72p831x).Robust Testing for Cyber-Physical Systems using Reinforcement Learning., , , and . MEMOCODE, page 36-46. ACM / IEEE, (2023)