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Descripción
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| 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. | |
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Internacional
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No |
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Nombre congreso
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RoboCity16 Open Conference on Future Trends in Robotics |
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Tipo de participación
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960 |
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Lugar del congreso
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Madrid, España |
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Revisores
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Si |
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ISBN o ISSN
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978-84-608-8452-1 |
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DOI
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Fecha inicio congreso
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26/05/2016 |
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Fecha fin congreso
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27/05/2016 |
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Desde la página
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309 |
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Hasta la página
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316 |
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Título de las actas
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Actas del RoboCity16 Open Conference on Future Trends in Robotics |