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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Georgia Institute of Technology
2012
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| Online Access: | http://hdl.handle.net/1853/44820 |