The Crowd Group of Inria Rennes is proud to release CrowdMP! CrowdMP is an open source Unity project that is used to easily setup experiment in Virtual Reality with virtual crowd. The project comes with many implemented features allowing user to easily setup a virtual crowd, immerse an individual in…
(This paper has been published in the 2020 ACM SIGGRAPH Conference on Motion, Interaction and Games.) Abstract: In highly dense crowds of humans, collisions between people occur often. It is common to simulate such a crowd as one fluid-like entity (macroscopic), and not as a set of individuals (microscopic, agent-based).…
Crowd simulation is a transdisciplinary research theme by nature. Computer science is a natural contributor to this theme, especially the Computer Graphics community, with teams such as ours. This community is attached to being able to evaluate the results of a simulation on the basis of an animation such as…
The Crowd Group of Inria Rennes is proud to release UMANS! UMANS (Unified Microscopic Agent Navigation Simulator) is open crowd-simulation software that can reproduce many different algorithms for collision avoidance in crowds. UMANS translates these algorithms to a single principle, while unifying as many simulation details as possible. This makes…
The international research project CLIPE kicks off today and tomorrow (April 2+3, 2020). The kick-off meeting involves the following institutes: University of Cyprus Universitat Politecnica de Catalunya INRIA University College London Trinity College Dublin Max Planck Institute for Intelligent Systems KTH Royal Institute of Technology, Stockholm Ecole Polytechnique Silversky3d This…
(This paper will appear in the 2020 ACM SIGGRAPH Symposium on Interactive 3D Graphics and Games.) Abstract: To simulate the low-level (‘microscopic’) behavior of human crowds, a local navigation algorithm computes how a single person (‘agent’) should move based on its surroundings. Many algorithms for this purpose have been proposed,…
(This paper has been published in the 2020 IEEE VR conference.) Abstract: This paper explores the use of VR to study human-robot interactions during navigation tasks. In our case, not only human perception is concerned, but also the one of the robot which requires to be simulated to perceive…
After 3 years as a PhD student in the Rainbow team, Axel López has defended his thesis titled “Optical flow-based navigation algorithms for virtual humans” on Monday 16th December. He now exchanges Rennes for Barcelona to start an engineering position at the Computer Vision Center.
(This paper has been published in the 2019 ACM SIGGRAPH Conference on Motion, Interaction and Games.) Abstract: We present a novel topology-driven method for improving the navigation of agents in virtual environments. In agent-based crowd simulations, the combination of global path planning and local collision avoidance can cause conflicts and…
