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2008
IEEE

Planning in information space for a quadrotor helicopter in a GPS-denied environment

8 years 8 months ago
Planning in information space for a quadrotor helicopter in a GPS-denied environment
— This paper describes a motion planning algorithm for a quadrotor helicopter flying autonomously without GPS. Without accurate global positioning, the vehicle’s ability to localize itself varies across the environment, since different environmental features provide different degrees of localization. If the vehicle plans a path without regard to how well it can localize itself along that path, it runs the risk of becoming lost. We use the Belief Roadmap (BRM) algorithm [1], an information-space extension of the Probabilistic Roadmap algorithm, to plan vehicle trajectories that incorporate sensing. We show that the original BRM can be extended to use the Unscented Kalman Filter (UKF), and describe a sampling algorithm that minimizes the number of samples required to find a good path. Finally, we demonstrate the BRM pathplanning algorithm on the helicopter, navigating in an indoor environment with a laser range-finder.
Ruijie He, Sam Prentice, Nicholas Roy
Added 30 May 2010
Updated 30 May 2010
Type Conference
Year 2008
Where ICRA
Authors Ruijie He, Sam Prentice, Nicholas Roy
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