Observatorio de I+D+i UPM

Memorias de investigación
Communications at congresses:
Pedestrian Motion Prediction: A Graph Based Approach
Year:2016
Research Areas
  • Electric engineers, electronic and automatic (eil)
Information
Abstract
A novel pedestrian motion prediction technique is presented in this paper. Its main achievement regards to none previous observation, any knowledge of pedestrian trajectories nor the existence of possible destinations is required; hence making it useful for autonomous surveillance applications. Prediction only requires initial position of the pedestrian and a 2D representation of the scenario as occupancy grid. First, it uses the Fast Marching Method (FMM) to calculate the pedestrian arrival time for each position in the map and then, the likelihood that the pedestrian reaches those positions is estimated. The technique has been tested with synthetic and real scenarios. In all cases, accurate probability maps as well as their representative graphs were obtained with low computational cost.
International
No
Congress
RoboCity16 Open Conference on Future Trends in Robotics
960
Place
Madrid, España
Reviewers
Si
ISBN/ISSN
978-84-608-8452-1
Start Date
26/05/2016
End Date
27/05/2016
From page
309
To page
316
Actas del RoboCity16 Open Conference on Future Trends in Robotics
Participants
  • Autor: David Alfredo Garzon Ramos
  • Autor: Mario Andrei Garzon Oviedo (UPM)
  • Autor: Antonio Barrientos Cruz (UPM)
Research Group, Departaments and Institutes related
  • Creador: 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
S2i 2020 Observatorio de investigación @ UPM con la colaboración del Consejo Social UPM
Cofinanciación del MINECO en el marco del Programa INNCIDE 2011 (OTR-2011-0236)
Cofinanciación del MINECO en el marco del Programa INNPACTO (IPT-020000-2010-22)