Autonomous Navigation of UAV in Foliage Environment |
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Authors: | Jin Q Cui Shupeng Lai Xiangxu Dong Ben M Chen |
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Affiliation: | 1.Temasek Laboratories,National University of Singapore,Singapore,Singapore;2.NUS Graduate School for Integrative Sciences, Engineering,National University of Singapore,Singapore,Singapore;3.Department of Electrical, Computer Engineering,National University of Singapore,Singapore,Singapore |
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Abstract: | This paper presents a navigation system that enables small-scale unmanned aerial vehicles to navigate autonomously using a 2D laser range finder in foliage environment without GPS. The navigation framework consists of real-time dual layer control, navigation state estimation and online path planning. In particular, the inner loop of a quadrotor is stabilized using a commercial autopilot while the outer loop control is implemented using robust perfect tracking. The navigation state estimation consists of real-time onboard motion estimation and trajectory smoothing using the GraphSLAM technique. The onboard real-time motion estimation is achieved by a Kalman filter, fusing the planar velocity measurement from matching the consecutive scans of a laser range finder and the acceleration measurement of an inertial measurement unit. The trajectory histories from the real-time autonomous navigation together with the observed features are fed into a sliding-window based pose-graph optimization framework. The online path planning module finds an obstacle-free trajectory based the local measurement of the laser range finder. The performance of the proposed navigation system is demonstrated successfully on the autonomous navigation of a small-scale UAV in foliage environment. |
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