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Collaborative localization in visual sensor networks

Published: 31 January 2014 Publication History

Abstract

Collaboration in visual sensor networks is essential not only to compensate for the limitations of each sensor node but also to tolerate inaccurate information generated by faulty sensors. This article focuses on the design of a collaborative target localization algorithm that is resilient to sensor faults. We first develop a distributed solution to fault-tolerant target localization based on a so-called certainty map. To tolerate potential sensor faults, a voting mechanism is adopted and a threshold value needs to be specified which is the key to the realization of the distributed solution. Analytical study is conducted to derive the lower and upper bounds for the threshold such that the probability of faulty sensors negatively impacts the localization performance is less than a small value. Second, we focus on the detection and correction of one type of sensor faults, error in camera orientation. We construct a generative image model in each camera based on the detected target location to estimate camera's orientation, detect inaccuracies in camera orientations and correct them before they cascade. Based on results obtained from both simulation and real experiments, we show that the proposed method is effective in localization accuracy as well as fault detection and correction performance.

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Cited By

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  • (2024)SensorBFT: Fault-Tolerant Target Localization Using Voronoi Diagrams and Approximate Agreement2024 IEEE 44th International Conference on Distributed Computing Systems (ICDCS)10.1109/ICDCS60910.2024.00026(186-197)Online publication date: 23-Jul-2024
  • (2019)Cooperative Localization Approach for Multi-Robot Systems Based on State Estimation Error CompensationSensors10.3390/s1918384219:18(3842)Online publication date: 5-Sep-2019
  • (2019)Advanced technologies and systems for collaboration and computer supported cooperative workFuture Generation Computer Systems10.1016/j.future.2019.02.04195:C(764-774)Online publication date: 1-Jun-2019
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Information & Contributors

Information

Published In

cover image ACM Transactions on Sensor Networks
ACM Transactions on Sensor Networks  Volume 10, Issue 2
January 2014
609 pages
ISSN:1550-4859
EISSN:1550-4867
DOI:10.1145/2575808
Issue’s Table of Contents
Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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Association for Computing Machinery

New York, NY, United States

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Publication History

Published: 31 January 2014
Accepted: 01 December 2012
Revised: 01 October 2012
Received: 01 April 2012
Published in TOSN Volume 10, Issue 2

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Author Tags

  1. Scene analysis
  2. fault tolerance
  3. sensor fusion
  4. target localization
  5. visual sensor networks

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  • Research-article
  • Research
  • Refereed

Funding Sources

  • Meliksah University, Turkey

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Cited By

View all
  • (2024)SensorBFT: Fault-Tolerant Target Localization Using Voronoi Diagrams and Approximate Agreement2024 IEEE 44th International Conference on Distributed Computing Systems (ICDCS)10.1109/ICDCS60910.2024.00026(186-197)Online publication date: 23-Jul-2024
  • (2019)Cooperative Localization Approach for Multi-Robot Systems Based on State Estimation Error CompensationSensors10.3390/s1918384219:18(3842)Online publication date: 5-Sep-2019
  • (2019)Advanced technologies and systems for collaboration and computer supported cooperative workFuture Generation Computer Systems10.1016/j.future.2019.02.04195:C(764-774)Online publication date: 1-Jun-2019
  • (2018)Optimizing the Detection Performance of Smart Camera Networks Through a Probabilistic Image-Based ModelIEEE Transactions on Circuits and Systems for Video Technology10.1109/TCSVT.2017.265136228:5(1197-1211)Online publication date: May-2018
  • (2017)Collaborative Synchronization Mechanism in Wireless Multimedia Sensor NetworksWireless Personal Communications: An International Journal10.1007/s11277-017-4276-296:2(1929-1943)Online publication date: 1-Sep-2017
  • (2015)A camera uncertainty model for collaborative visual sensor network applicationsProceedings of the 9th International Conference on Distributed Smart Cameras10.1145/2789116.2789130(86-91)Online publication date: 8-Sep-2015
  • (2015)TrustLP: A trust-based localization protocol for wireless sensor networks2015 13th International Symposium on Modeling and Optimization in Mobile, Ad Hoc, and Wireless Networks (WiOpt)10.1109/WIOPT.2015.7151115(529-536)Online publication date: May-2015
  • (2015)Cooperative fault-tolerant target tracking in Camera Sensor Networks2015 IEEE International Conference on Communications (ICC)10.1109/ICC.2015.7249382(6634-6639)Online publication date: Jun-2015
  • (2015)Fault-tolerant tracking of multiple targets in collaborative Camera Networks2015 European Control Conference (ECC)10.1109/ECC.2015.7331025(3191-3196)Online publication date: Jul-2015
  • (2014)Vision-Based Cooperative Pose Estimation for Localization in Multi-Robot Systems Equipped with RGB-D CamerasRobotics10.3390/robotics40100014:1(1-22)Online publication date: 26-Dec-2014

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