Integrated Guidance Navigation and Control for a Fully Autonomous Indoor UAS
Author(s)
Chowdhary, Girish
Sobers, D. Michael, Jr.
Pravitra, Chintasid
Christmann, Hans Claus
Wu, Allen
Hashimoto, Hiroyuki
Ong, Chester
Kalghatgi, Roshan
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Abstract
This paper describes the details of a Quadrotor miniature unmanned aerial system capable of autonomously exploring cluttered indoor areas without relying on any external navigational aids such as GPS. A streamlined Simultaneous Localization and Mapping (SLAM) algorithm is implemented onboard the vehicle to fuse information from a scanning
laser range sensor, an inertial measurement unit, and an altitude sonar to provide relative
position, velocity, and attitude information. This state information, with a self-generated
map, is used to implement a frontier-based exhaustive search of an indoor environment.
To ensure the SLAM algorithm has sufficient information to form a reliable solution, the
guidance algorithm ensures the vehicle approaches frontier waypoints through a path that remains within sensor range of indoor structures. Along with a detailed description of the
system, simulation and hardware testing results are presented.
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Date
2011-08
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Text
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Proceedings