Generalized, Dynamic Multi-agent Torso Crowds

In crowd simulation algorithms, discs are commonly used due to their geometrical simplicity. However, discs overestimate the body’s projected shape on the ground plane, and do not naturally embody rotational information for each crowd agent. We propose a crowd simulation algorithm that represents crowd agents as 2D capsules. Our algorithm is based on position-based dynamics (PBD), for which we design novel constraints for capturing dynamics of capsule-shaped agents. We demonstrate our algorithm in several scenarios, showing superior performance compared to a disc-based representation on settings that range from sparse to dense.