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Just-in-time cooperative simultaneous localization and mapping

Martin, Adrian (author)
Institute for Aerospace Studies, University of Toronto
Emami, Reza (author)
Institute for Aerospace Studies, University of Toronto
 (creator_code:org_t)
Piscataway, NJ : IEEE Communications Society, 2010
2010
English.
In: 11th International Conference on Control, Automation, Robotics and Vision, ICARCV, Singapore, Singapore, 7-10 December 2010. - Piscataway, NJ : IEEE Communications Society. - 9781424478132 ; , s. 479-484
  • Conference paper (peer-reviewed)
Abstract Subject headings
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  • A new technique for Simultaneous Localization and Mapping (SLAM) is introduced. This technique was developed as a real-time, distributed, scalable implementation for heterogeneous mobile robot teams. Update efficiency and performance under variable resources is enhanced using a new strategy called Lazy Belief Propagation. The formulations and algorithms behind the implementation are described and a simulation was used to compare several SLAM algorithms. Results demonstrate an 11% improvement in map coverage in the same amount of time compared to a traditional implementation. ©2010 IEEE.

Subject headings

TEKNIK OCH TEKNOLOGIER  -- Elektroteknik och elektronik -- Annan elektroteknik och elektronik (hsv//swe)
ENGINEERING AND TECHNOLOGY  -- Electrical Engineering, Electronic Engineering, Information Engineering -- Other Electrical Engineering, Electronic Engineering, Information Engineering (hsv//eng)

Keyword

Localization
Mapping
Particle filter
Robot team
Onboard space systems
Rymdtekniska system

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ref (subject category)
kon (subject category)

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Martin, Adrian
Emami, Reza
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Luleå University of Technology

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