Observatorio de I+D+i UPM

Memorias de investigación
Communications at congresses:
Pedestrian Trajectory Prediction in Large Infrastructures A Long-term Approach based on Path Planning
Year:2016
Research Areas
  • Automatic
Information
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.
International
Si
Congress
ICINCO 2016 13th International Conference on Informatics in Control, Automation and Robotics, 3
960
Place
Lisboa- Portugal
Reviewers
Si
ISBN/ISSN
978-989-758-198-4
10.5220/0005983303810389
Start Date
29/07/2016
End Date
31/07/2016
From page
381
To page
389
Proceedings of the 13th International Conference on Informatics in Control, Automation and Robotics,
Participants
  • Autor: Mario Andrei Garzon Oviedo (UPM)
  • Autor: David Garzon-Ramos (Universidad Politécnica de Madrid)
  • Autor: Antonio Barrientos Cruz (UPM)
  • Autor: Jaime del Cerro Giner (UPM)
Research Group, Departaments and Institutes related
  • Creador: Grupo de Investigación: Robótica y Cibernética
  • Centro o Instituto I+D+i: Centro de Automática y Robótica (CAR). Centro Mixto UPM-CSIC
  • Departamento: Automática, Ingeniería Eléctrica y Electrónica e Informática Industrial
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