Robot mapping in large-scale mixed indoor and outdoor environments

John G. Rogers III; Stuart Young; Jason Gregory; Carlos Nieto-Granda; Henrik I. Christensen

doi:10.1117/12.2015955

17 May 2013 Robot mapping in large-scale mixed indoor and outdoor environments

John G. Rogers III, Stuart Young, Jason Gregory, Carlos Nieto-Granda, Henrik I. Christensen

Proceedings Volume 8741, Unmanned Systems Technology XV; 874107 (2013) https://doi.org/10.1117/12.2015955
Event: SPIE Defense, Security, and Sensing, 2013, Baltimore, Maryland, United States

Abstract

Tactical situational awareness in unstructured and mixed indoor / outdoor scenarios is needed for urban combat as well as rescue operations. Two of the key functionalities needed by robot systems to function in an unknown environment are the ability to build a map of the environment and to determine its position within that map. In this paper, we present a strategy to build dense maps and to automatically close loops from 3D point clouds; this has been integrated into a mapping system dubbed OmniMapper. We will present both the underlying system, and experimental results from a variety of environments such as office buildings, at military training facilities and in large scale mixed indoor and outdoor environments.

Citation Download Citation

John G. Rogers III, Stuart Young, Jason Gregory, Carlos Nieto-Granda, and Henrik I. Christensen "Robot mapping in large-scale mixed indoor and outdoor environments", Proc. SPIE 8741, Unmanned Systems Technology XV, 874107 (17 May 2013); https://doi.org/10.1117/12.2015955

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