Fast-Forwarding Crowd Simulations

Moving Virtual Agents Forward in Space and Time

“…Bianco et al [12] presented a method for estimating the future individual position of virtual agents in crowd simulations. Their work uses a PDR method to define the prior positions of each agent, taking into consideration their goal and speed at the frame where the jump occurs.…”

“…The main goal of this work is to adapt the model of Bianco et al [12] to make it more accurate, regarding the impact of obstacles and motion trajectories. To do so, we propose to remove the global environment complexity factor, that was computed taking into account the global free space to move in the environment.…”

“…For example, if a simulation is fast-forwarded from frame 200 to frame 300, this interval of 100 frames does not need to be simulated, relieving computational resources. In their work, Bianco et al [12] proposed a method to estimate the future position of agents in crowd simulations. A Pedestrian Dead Reckoning (PDR) method is used, evaluating the prior positions, velocities, and goals of each agent.…”

“…Although interesting, the method of Bianco et al [12] has space to improve. The global environment complexity factor is too general, which means that the more complex the environment, the more chances to have a high error rate and, thus, agents jumping to positions far away from where they should be.…”

“…The global environment complexity factor is too general, which means that the more complex the environment, the more chances to have a high error rate and, thus, agents jumping to positions far away from where they should be. Therefore, in this work, we aim to adapt the model of Bianco et al [12] to make it more accurate. So, given an initial and final time/frame, each agent is able to teleport from its current position A to a future position B, following their own path and time constraints.…”