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Modeling of Digital Twin Workshop Based on Perception Data Read chapter Read first chapter

2017 | OriginalPaper | Chapter

People Tracking in Unknown Environment Based on Particle Filter and Social Force Model

Authors : Yang Wang, Wanmi Chen, Yifan Luo

Published in: Intelligent Robotics and Applications

Publisher: Springer International Publishing

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Abstract

In this paper, we introduce a novel scheme for tracking moving person based on particle filter and social force model. The tracking process contains two parts: the predict model and the decision model. We adopt the particle filter algorithm to predict the position and velocity of human. According to the result of prediction, we adapt a sophisticated motion model to calculate the value of social force. Finally, we can control the velocity of robot dynamically through the value of social force.

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Metadata
Title
People Tracking in Unknown Environment Based on Particle Filter and Social Force Model
Authors
Yang Wang
Wanmi Chen
Yifan Luo
Copyright Year
2017
Book
Intelligent Robotics and Applications

Print ISBN: 978-3-319-65297-9

Electronic ISBN: 978-3-319-65298-6

Copyright Year: 2017

DOI
https://doi.org/10.1007/978-3-319-65298-6_31

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