Online optimal obstacle avoidance for rotary-wing autonomous unmanned aerial vehicles

Online optimal obstacle avoidance for rotary-wing autonomous unmanned aerial vehicles

This thesis presents an integrated framework for online obstacle avoidance of rotary-wing unmanned aerial vehicles (UAVs), which can provide UAVs an obstacle field navigation capability in a partially or completely unknown obstacle-rich environment. The framework is composed of a LIDAR interface, a...

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Bibliographic Details
Main Author: Kang, Keeryun
Published: Georgia Institute of Technology 2012
Subjects:
Real-time optimization
Trajectory optimization
UAV
Obstacle avoidance
Trajectory planning
Guidance systems (Flight)
Drone aircraft
Flight control
Online Access:http://hdl.handle.net/1853/44820

Internet

http://hdl.handle.net/1853/44820

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