Complex approach to long-term multi-agent mapping in low dynamic environments

Evgeny A. Shvets; Dmitry P. Nikolaev

doi:10.1117/12.2228708

8 December 2015 Complex approach to long-term multi-agent mapping in low dynamic environments

Proceedings Volume 9875, Eighth International Conference on Machine Vision (ICMV 2015); 98752A (2015) https://doi.org/10.1117/12.2228708
Event: Eighth International Conference on Machine Vision, 2015, Barcelona, Spain

Abstract

In the paper we consider the problem of multi-agent continuous mapping of a changing, low dynamic environment. The mapping problem is a well-studied one, however usage of multiple agents and operation in a non-static environment complicate it and present a handful of challenges (e.g. double-counting, robust data association, memory and bandwidth limits). All these problems are interrelated, but are very rarely considered together, despite the fact that each has drawn attention of the researches. In this paper we devise an architecture that solves the considered problems in an internally consistent manner.

Citation Download Citation

Evgeny A. Shvets and Dmitry P. Nikolaev "Complex approach to long-term multi-agent mapping in low dynamic environments", Proc. SPIE 9875, Eighth International Conference on Machine Vision (ICMV 2015), 98752A (8 December 2015); https://doi.org/10.1117/12.2228708

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