SYMar 13, 2018
A Computationally Efficient Model for Pedestrian Motion PredictionIvo Batkovic, Mario Zanon, Nils Lubbe et al.
We present a mathematical model to predict pedestrian motion over a finite horizon, intended for use in collision avoidance algorithms for autonomous driving. The model is based on a road map structure, and assumes a rational pedestrian behavior. We compare our model with the state-of-the art and discuss its accuracy, and limitations, both in simulations and in comparison to real data.