A Computationally Efficient Model for Pedestrian Motion Prediction
Paper in proceedings, 2018

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.

Autonomous systems

Automotive

Author

Ivo Batkovic

Chalmers, Electrical Engineering, Systems and control, Mechatronics

Mario Zanon

Chalmers, Electrical Engineering, Systems and control, Mechatronics

Nils Lübbe

Chalmers, Electrical Engineering, Systems and control, Mechatronics

Paolo Falcone

Chalmers, Electrical Engineering, Systems and control, Mechatronics

374-375

European Control Conference (ECC) 2018
Limassol, ,

COPPLAR CampusShuttle cooperative perception & planning platform

VINNOVA, 2016-01-01 -- 2018-12-31.

Subject Categories

Applied Mechanics

Vehicle Engineering

Probability Theory and Statistics

DOI

10.23919/ECC.2018.8550300

More information

Latest update

4/11/2019