Pedestrian trajectory prediction in large infrastructures

Garzon Oviedo, M.A.; Garzón-Ramos, David; Barrientos, Antonio; del Cerro, Jaime

Pedestrian trajectory prediction in large infrastructures

A long-term approach based on path planning

Conference paper (2016)

Authors

M.A. Garzon Oviedo UPM-CSIC

David Garzón-Ramos UPM-CSIC

Antonio Barrientos UPM-CSIC

Jaime del Cerro UPM-CSIC

Affiliation

External organisation

Pedestrian trajectory prediction Planning-based prediction Trajectory forecast

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Published Date

2016

Language

English

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Abstract

This paper presents a pedestrian trajectory prediction technique. Its mail novelty is that it does not require any previous observation or knowledge of pedestrian trajectories, thus making it useful for autonomous surveillance applications. The prediction requires only a set of possible goals, a map of the scenario and the initial position of the pedestrian. Then, it uses two different path planing algorithms to find the possible routes and transforms the similarity between observed and planned routes into probabilities. Finally, it applies a motion model to obtain a time-stamped predicted trajectory. The system has been used in combination with a pedestrian detection and tracking system for real-world tests as well as a simulation software for a large number of executions.