Navigating Together: The CoNaV Testbed and Framework for Benchmarking Cooperative Localization

This paper presents CoNaV, a comprehensive framework for creating a multi-vehicle cooperative localization (CL) testbed designed to support the benchmarking, development, and deployment of cooperative navigation algorithms. Given the essential role of CL in improving localization accuracy for both defense and civilian applications, CoNaV provides a robust environment for rigorously validating algorithms under real-world conditions. By establishing a benchmark for CL algorithms, CoNaV lays a foundation for advancing research into more sophisticated and distributed CL solutions. This framework highlights the potential of cooperative navigation to enhance multi-vehicle operations and offers a scalable, practical approach for future developments in CL technology.

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Publication Details

Journal
NAVIGATION Journal of the Institute of Navigation
Published
2025-01-01
DOI
https://doi.org/10.33012/navi.722
Primary Topic
Indoor and Outdoor Localization Technologies
Type
article
Field-Weighted Citation Impact
0.00
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article

Navigating Together: The CoNaV Testbed and Framework for Benchmarking Cooperative Localization

Rajnikant Sharma, Kevin Brink, Anusna Chakraborty, Clark N. Taylor et al.
NAVIGATION Journal of the Institute of Navigation
Indoor and Outdoor Localization Technologies
article

Navigating Together: The CoNaV Testbed and Framework for Benchmarking Cooperative Localization

Rajnikant Sharma, Kevin Brink, Anusna Chakraborty, Clark N. Taylor, Rohith Boyinine, Jayanth Ammapalli
article en

Abstract

This paper presents CoNaV, a comprehensive framework for creating a multi-vehicle cooperative localization (CL) testbed designed to support the benchmarking, development, and deployment of cooperative navigation algorithms. Given the essential role of CL in improving localization accuracy for both defense and civilian applications, CoNaV provides a robust environment for rigorously validating algorithms under real-world conditions. By establishing a benchmark for CL algorithms, CoNaV lays a foundation for advancing research into more sophisticated and distributed CL solutions. This framework highlights the potential of cooperative navigation to enhance multi-vehicle operations and offers a scalable, practical approach for future developments in CL technology.

NAVIGATION Journal of the Institute of NavigationVol. 72(4)
Openalex Percentile: Top 76%
Indoor and Outdoor Localization Technologies
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