Segui
Andrew Best
Andrew Best
Senior Research Scientist, Toyota Research Institute
Email verificata su cs.unc.edu
Titolo
Citata da
Citata da
Anno
Menge: A modular framework for simulating crowd movement
S Curtis, A Best, D Manocha
Collective Dynamics 1, 1-40, 2016
1432016
Autonovi-sim: Autonomous vehicle simulation platform with weather, sensing, and traffic control
A Best, S Narang, L Pasqualin, D Barber, D Manocha
Proceedings of the IEEE conference on computer vision and pattern …, 2018
832018
Autonovi: Autonomous vehicle planning with dynamic maneuvers and traffic constraints
A Best, S Narang, D Barber, D Manocha
2017 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2017
742017
Real-time reciprocal collision avoidance with elliptical agents
A Best, S Narang, D Manocha
2016 IEEE International Conference on Robotics and Automation (ICRA), 298-305, 2016
672016
DenseSense: Interactive Crowd Simulation using Density-Dependent Filters.
A Best, S Narang, S Curtis, D Manocha
Symposium on Computer Animation, 97-102, 2014
652014
PedVR: Simulating gaze-based interactions between a real user and virtual crowds
S Narang, A Best, T Randhavane, A Shapiro, D Manocha
Proceedings of the 22nd ACM conference on virtual reality software and …, 2016
602016
Interactive and adaptive data-driven crowd simulation
S Kim, A Bera, A Best, R Chabra, D Manocha
2016 IEEE Virtual Reality (VR), 29-38, 2016
562016
Motion recognition of self and others on realistic 3D avatars
S Narang, A Best, A Feng, S Kang, D Manocha, A Shapiro
Computer Animation and Virtual Worlds 28 (3-4), e1762, 2017
432017
Generating pedestrian trajectories consistent with the fundamental diagram based on physiological and psychological factors
S Narang, A Best, S Curtis, D Manocha
PLoS one 10 (4), e0117856, 2015
422015
Simulating movement interactions between avatars & agents in virtual worlds using human motion constraints
S Narang, A Best, D Manocha
2018 IEEE Conference on Virtual Reality and 3D User Interfaces (VR), 9-16, 2018
342018
Automatic testing and falsification with dynamically constrained reinforcement learning
X Qin, N Aréchiga, A Best, J Deshmukh
arXiv preprint arXiv:1910.13645, 2019
322019
Similarity, complementarity, and agency in HRI: Theoretical issues in shifting the perception of robots from tools to teammates
SF Warta, KA Kapalo, A Best, SM Fiore
Proceedings of the Human Factors and Ergonomics Society Annual Meeting 60 (1 …, 2016
282016
Inferring user intent using Bayesian theory of mind in shared avatar-agent virtual environments
S Narang, A Best, D Manocha
IEEE transactions on visualization and computer graphics 25 (5), 2113-2122, 2019
182019
Effects of social cues on social signals in human-robot interaction during a hallway navigation task
SF Warta, OB Newton, J Song, A Best, SM Fiore
Proceedings of the human factors and ergonomics society annual meeting 62 (1 …, 2018
162018
Interactive simulation of local interactions in dense crowds using elliptical agents
S Narang, A Best, D Manocha
Journal of Statistical Mechanics: Theory and Experiment 2017 (3), 033403, 2017
152017
SPA: verbal interactions between agents and avatars in shared virtual environments using propositional planning
A Best, S Narang, D Manocha
2020 IEEE Conference on Virtual Reality and 3D User Interfaces (VR), 117-126, 2020
112020
Ped-air: a simulator for loading, unloading, and evacuating aircraft
A Best, S Curtis, D Kasik, C Senesac, T Sikora, D Manocha
Transportation Research Procedia 2, 273-281, 2014
102014
Maveric: A data-driven approach to personalized autonomous driving
ML Schrum, E Sumner, MC Gombolay, A Best
IEEE Transactions on Robotics, 2024
72024
Connected and automated vehicle simulation to enhance vehicle message delivery
D Barber, A Best
Advances in Human Factors in Simulation and Modeling: Proceedings of the …, 2018
72018
Generating virtual avatars with personalized walking gaits using commodity hardware
S Narang, A Best, A Shapiro, D Manocha
Proceedings of the on Thematic Workshops of ACM Multimedia 2017, 219-227, 2017
62017
Il sistema al momento non può eseguire l'operazione. Riprova più tardi.
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