期刊
ROBOTICS AND AUTONOMOUS SYSTEMS
卷 59, 期 12, 页码 1060-1069出版社
ELSEVIER SCIENCE BV
DOI: 10.1016/j.robot.2011.08.005
关键词
Human navigation and mapping; IMU-based dead reckoning; Laser-based SLAM
资金
- University of Genova
- Regione Liguria/SIIT
This article focuses on human navigation, by proposing a system for mapping and self-localization based on wearable sensors, i.e., a laser scanner and a 6 Degree-of-Freedom Inertial Measurement Unit (6DOF IMU) fixed on a helmet worn by the user. The sensor data are fed to a Simultaneous Localization And Mapping (SLAM) algorithm based on particle filtering, an approach commonly used for mapping and self-localization in mobile robotics. Given the specific scenario considered, some operational hypotheses are introduced in order to reduce the effect of a well-known problem in IMU-based localization, i.e., position drift. Experimental results show that the proposed solution leads to improvements in the quality of the generated map with respect to existing approaches. (C) 2011 Elsevier B.V. All rights reserved.
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