Abstract
This paper deals with a multi-agent path planning problem for tracking humans. Path of agents is planned based on the similarity between the prediction of the intensity of humans existing and the intensity of field of view of agents. Since the prediction is not always accurate, we proposed the an path planning method method where prediction length is varied based on the reliability of the prediction. We conducted computer simulation and results showed that our path planning method works well even under changing circumstances.
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Takemura, N., Nakamura, Y., Matsumoto, Y., Ishiguro, H. (2010). A Path Planning Method for Human Tracking Agents Using Variable-Term Prediction . In: Diamantaras, K., Duch, W., Iliadis, L.S. (eds) Artificial Neural Networks – ICANN 2010. ICANN 2010. Lecture Notes in Computer Science, vol 6354. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-15825-4_53
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DOI: https://doi.org/10.1007/978-3-642-15825-4_53
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-15824-7
Online ISBN: 978-3-642-15825-4
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