A machine learning approach to trajectory planning for unmanned aerial vehicles
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Authors
Lai, Runyu
Issue Date
2020-08
Type
Electronic thesis
Thesis
Thesis
Language
ENG
Keywords
Mechanical engineering
Alternative Title
Abstract
Finally, the neural network model is tested against out-of-sample data. The machine-learned trajectory generation model is checked for the approximation accuracy as well as any violation of the constraints enforced in the optimization problem; thus, this machine-learned model is proved accurate and feasible.
Description
August 2020
School of Engineering
School of Engineering
Full Citation
Publisher
Rensselaer Polytechnic Institute, Troy, NY