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

Elektroteknik, System- och reglerteknik, Mekatronik

Mario Zanon

Elektroteknik, System- och reglerteknik, Mekatronik

Nils Lübbe

Elektroteknik, System- och reglerteknik, Mekatronik

Paolo Falcone

Elektroteknik, System- och reglerteknik, Mekatronik

European Control Conference (ECC) 2018
Limassol, ,

Ämneskategorier

Teknisk mekanik

Farkostteknik

Sannolikhetsteori och statistik