A Computationally Efficient Model for Pedestrian Motion Prediction

Ivo Batkovic, Mario Zanon, Nils Lubbe, Paolo Falcone
2018 2018 European Control Conference (ECC)  
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 stateof-the art and discuss its accuracy, and limitations, both in simulations and in comparison to real data.
doi:10.23919/ecc.2018.8550300 dblp:conf/eucc/BatkovicZLF18 fatcat:tnoki5qlyjhp5prr6sq64cuiau