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Article

Parallel tracking and mapping with multiple cameras on an unmanned aerial vehicle

Authors:

Michael TrentiniAuthors Info & Claims

ICIRA'12: Proceedings of the 5th international conference on Intelligent Robotics and Applications - Volume Part I

Pages 421 - 432

https://doi.org/10.1007/978-3-642-33509-9_42

Published: 03 October 2012 Publication History

Abstract

This paper presents the development and testing of a new multi-camera system designed for tracking and mapping aboard a small unmanned aerial vehicle. In order to be resistant to failure from loss of tracking, the large field of view cameras are positioned in such a way as to cover a large portion of the vehicle's surroundings. The proposed algorithm is tested indoors, and it is found that the system achieves good performance. More importantly, it is shown that the system is resistant to failure by comparing it to a system with fewer cameras that loses tracking during certain portions of the test.

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Cited By

Yang SScherer SYi XZell A(2017)Multi-camera visual SLAM for autonomous navigation of micro aerial vehiclesRobotics and Autonomous Systems10.1016/j.robot.2017.03.01893:C(116-134)Online publication date: 1-Jul-2017
https://dl.acm.org/doi/10.1016/j.robot.2017.03.018
St-Onge DBrches PSharf IReeves NRekleitis IAbouzakhm PGirdhar YHarmat ADudek GGigure P(2017)Control, localization and human interaction with an autonomous lighter-than-air performerRobotics and Autonomous Systems10.1016/j.robot.2016.10.01388:C(165-186)Online publication date: 1-Feb-2017
https://dl.acm.org/doi/10.1016/j.robot.2016.10.013
Harmat ATrentini MSharf I(2015)Multi-Camera Tracking and Mapping for Unmanned Aerial Vehicles in Unstructured EnvironmentsJournal of Intelligent and Robotic Systems10.1007/s10846-014-0085-y78:2(291-317)Online publication date: 1-May-2015
https://dl.acm.org/doi/10.1007/s10846-014-0085-y

Parallel tracking and mapping with multiple cameras on an unmanned aerial vehicle
1. Computing methodologies
  1. Artificial intelligence
    1. Computer vision
      1. Computer vision tasks

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Information & Contributors

Information

Published In

cover image Guide Proceedings

ICIRA'12: Proceedings of the 5th international conference on Intelligent Robotics and Applications - Volume Part I

October 2012

715 pages

ISBN:9783642335082

Editors:
Chun-Yi Su
Department of Mechanical and Industrial Engineering, Concordia University, Montreal, Quebec, Canada
,
Subhash Rakheja
Department of Mechanical and Industrial Engineering, Concordia University, Montral, Quebec, Canada
,
Honghai Liu
School of Creative Technologies, The University of Portsmouth, Portsmouth, Quebec, UK

Sponsors

Concordia University: Concordia University

Publisher

Springer-Verlag

Berlin, Heidelberg

Publication History

Published: 03 October 2012

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Citations

Cited By

Yang SScherer SYi XZell A(2017)Multi-camera visual SLAM for autonomous navigation of micro aerial vehiclesRobotics and Autonomous Systems10.1016/j.robot.2017.03.01893:C(116-134)Online publication date: 1-Jul-2017
https://dl.acm.org/doi/10.1016/j.robot.2017.03.018
St-Onge DBrches PSharf IReeves NRekleitis IAbouzakhm PGirdhar YHarmat ADudek GGigure P(2017)Control, localization and human interaction with an autonomous lighter-than-air performerRobotics and Autonomous Systems10.1016/j.robot.2016.10.01388:C(165-186)Online publication date: 1-Feb-2017
https://dl.acm.org/doi/10.1016/j.robot.2016.10.013
Harmat ATrentini MSharf I(2015)Multi-Camera Tracking and Mapping for Unmanned Aerial Vehicles in Unstructured EnvironmentsJournal of Intelligent and Robotic Systems10.1007/s10846-014-0085-y78:2(291-317)Online publication date: 1-May-2015
https://dl.acm.org/doi/10.1007/s10846-014-0085-y

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