Paper
25 May 2012 Autonomous exploration and mapping of unknown environments
Jason Owens, Phil Osteen, MaryAnne Fields
Author Affiliations +
Abstract
Autonomous exploration and mapping is a vital capability for future robotic systems expected to function in arbitrary complex environments. In this paper, we describe an end-to-end robotic solution for remotely mapping buildings. For a typical mapping system, an unmanned system is directed to enter an unknown building at a distance, sense the internal structure, and, barring additional tasks, while in situ, create a 2-D map of the building. This map provides a useful and intuitive representation of the environment for the remote operator. We have integrated a robust mapping and exploration system utilizing laser range scanners and RGB-D cameras, and we demonstrate an exploration and metacognition algorithm on a robotic platform. The algorithm allows the robot to safely navigate the building, explore the interior, report significant features to the operator, and generate a consistent map - all while maintaining localization.
© (2012) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Jason Owens, Phil Osteen, and MaryAnne Fields "Autonomous exploration and mapping of unknown environments", Proc. SPIE 8387, Unmanned Systems Technology XIV, 838717 (25 May 2012); https://doi.org/10.1117/12.919147
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KEYWORDS
Buildings

Sensors

Robotics

Global Positioning System

Clouds

Algorithm development

Image segmentation

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