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RI Seminar: Dinesh Manocha : Velocity-Space Approaches for Multi-agent Crowd Simulations
Efficient Trajectory Extraction and Parameter Learning for Data-Driven Crowd Simulation
Parameter Estimation and Comparative Evaluation of Crowd Simulations
Group Modeling: A Unified Velocity-Based Approach
Priority driven Local Optimization for Crowd Simulation
Crowd Simulation Analytic Tools
Realtime Multilevel Crowd Tracking using Reciprocal Velocity Obstacles
Crowd Simulation using ORCA
The PAG Crowd: A Graph Based Approach for Efficient Data-Driven Crowd Simulation
A Data-Driven Framework for Visual Crowd Analysis
Hybrid Long-Range Collision Avoidance for Crowd Simulation
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Last Updated: October 21, 2026
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By Gang Qiao (Rutgers University), Mubbasir Kapadia (Rutgers University), Sejong Yoon (The College of New Jersey), and ... We present an interactive algorithm to model physics- Dinesh Manocha Department of Computer Science, University of North Carolina at Chapel Hill February 08, 2013 Abstract From ... We present a trajectory extraction and behavior-learning algorithm for We present a novel framework to evaluate multi-agent Analytic Tools – Analytic tools are needed to quantify the features of Optimal Reciprocal Collision Avoidance (ORCA) by Jur van den Berg, Stephen J. Guy, Ming Lin, and Dinesh Manocha, where ... We present a novel approach for analyzing the quality of multi-agent Local collision avoidance algorithms in
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