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Data fusion in ubiquitous networked robot systems for urban services

  • Luis Merino
  • Andrew Gilbert
  • Jesús Capitán
  • Richard Bowden
  • John Illingworth
  • Aníbal Ollero
Article

Abstract

There is a clear trend in the use of robots to accomplish services that can help humans. In this paper, robots acting in urban environments are considered for the task of person guiding. Nowadays, it is common to have ubiquitous sensors integrated within the buildings, such as camera networks, and wireless communications like 3G or WiFi. Such infrastructure can be directly used by robotic platforms. The paper shows how combining the information from the robots and the sensors allows tracking failures to be overcome, by being more robust under occlusion, clutter, and lighting changes. The paper describes the algorithms for tracking with a set of fixed surveillance cameras and the algorithms for position tracking using the signal strength received by a wireless sensor network (WSN). Moreover, an algorithm to obtain estimations on the positions of people from cameras on board robots is described. The estimate from all these sources are then combined using a decentralized data fusion algorithm to provide an increase in performance. This scheme is scalable and can handle communication latencies and failures. We present results of the system operating in real time on a large outdoor environment, including 22 nonoverlapping cameras, WSN, and several robots.

Keywords

Ubiquitous networked robots Decentralized data fusion Service and social robotics Person tracking 

Notes

Acknowledgements

This work is partially supported by URUS, Ubiquitous networking Robotics in Urban Settings, funded by the European Commission (EC) under FP6 with contract number FP6-EU-IST-045062. In addition, the authors would like to thank to the rest of the partners of the URUS project for their help and support. Luis Merino is also funded by the EC through the project FROG (FP7-288235). Jesus Capitan is also funded by Fundação para a Ciência e a Tecnologia (ISR/IST pluriannual funding) through the PIDDAC Program funds and projects PEst-OE/EEI/LA0009/2011 and CMU-PT/SIA/0023/2009.

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Copyright information

© Institut Mines-Télécom and Springer-Verlag 2012

Authors and Affiliations

  • Luis Merino
    • 1
  • Andrew Gilbert
    • 2
  • Jesús Capitán
    • 3
  • Richard Bowden
    • 2
  • John Illingworth
    • 2
  • Aníbal Ollero
    • 4
    • 5
  1. 1.School of EngineeringPablo de Olavide UniversitySevilleSpain
  2. 2.Centre for Vision Speech and Signal ProcessingUniversity of SurreyGuildfordUK
  3. 3.Institute for Systems and RoboticsInstituto Superior TecnicoLisbonPortugal
  4. 4.School of EngineeringUniversity of SevilleSevilleSpain
  5. 5.Centre for Advanced Aerospace TechnologyParque Tecnológico y Aeronáutico de AndalucíaLa RinconadaSpain

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