Exploring Interactive And Adaptive Data Driven Crowd Simulation User Study
Exploring Interactive And Adaptive Data Driven Crowd Simulation User Study reveals several interesting facts.
- We present a novel approach for analyzing the quality of multi-agent
- By Gang Qiao (Rutgers University), Mubbasir Kapadia (Rutgers University), Sejong Yoon (The College of New Jersey), and ...
- In this work we use a large collection of
- However
- jCrowdSimulator is a
In-Depth Information on Interactive And Adaptive Data Driven Crowd Simulation User Study
IEEE VR 2016 Video Submission (posted with permission of authors) Introduction ... We present a We present a trajectory extraction and behavior-learning algorithm for
Data
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