A Computationally Efficient Model for Pedestrian Motion Prediction [article]

Ivo Batkovic, Mario Zanon, Nils Lubbe, Paolo Falcone
2018 arXiv   pre-print
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.
arXiv:1803.04702v1 fatcat:zyj6romcqrbcnglcrolgvi65uy