The Proceedings of JSME annual Conference on Robotics and Mechatronics (Robomec)
Online ISSN : 2424-3124
2007
Session ID : 2A2-B07
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2A2-B07 An Investigation of Hybrid Navigation Systems for Autonomous Unmanned Vehicles
Hiroaki NAKANISHI
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Keywords: Hybrid Navigation system, Kalman Filter, Estimation, Autonomous Unmanned Aerial Vehicles, Autonomous Flight Control
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Abstract
To improve safety and reliability of autonomous unmanned aerial vehicles, it is effective to design adaptive flight control system for environmental changes. Hybrid navigation system that is reliable and can estimate attitude, position and velocity of the aerial vehicle with enough accuracy. Designing hybrid navigation system is discussed in this paper, and experimental results of a hybrid navigation system that is composed of not-expensive and light MEMS sensors are also shown.
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© 2007 The Japan Society of Mechanical Engineers
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