A Computationally Efficient Model for Pedestrian Motion Prediction
Paper i proceeding, 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

Författare

Ivo Batkovic

Chalmers, Elektroteknik, System- och reglerteknik

Mario Zanon

Chalmers, Elektroteknik, System- och reglerteknik

Nils Lübbe

Chalmers, Elektroteknik, System- och reglerteknik

Paolo Falcone

Chalmers, Elektroteknik, System- och reglerteknik

374-375

European Control Conference (ECC) 2018
Limassol, ,

COPPLAR CampusShuttle cooperative perception & planning platform

VINNOVA (2015-04849), 2016-01-01 -- 2018-12-31.

Ämneskategorier

Teknisk mekanik

Farkostteknik

Sannolikhetsteori och statistik

DOI

10.23919/ECC.2018.8550300

Mer information

Senast uppdaterat

2019-08-12