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Extending Deep Neural Network Trail Navigation for Unmanned Aerial Vehicle Operation within the Forest Canopy

Maciel-Pearson, B.G.; Carbonneau, P.; Breckon, T.P.

Authors

B.G. Maciel-Pearson



Citation

Maciel-Pearson, B., Carbonneau, P., & Breckon, T. (2018). Extending Deep Neural Network Trail Navigation for Unmanned Aerial Vehicle Operation within the Forest Canopy. In Proc. Towards Autonomous Robotic Systems Conference (147-158). https://doi.org/10.1007/978-3-319-96728-8_13

Conference Name 19th Towards Autonomous Robotic Systems (TAROS) Conference.
Conference Location Bristol, England
Start Date Jul 25, 2018
End Date Jul 27, 2018
Acceptance Date Apr 1, 2018
Publication Date 2018
Deposit Date May 3, 2018
Publisher Springer Verlag
Pages 147-158
Series Title Lecture notes in computer science
Book Title Proc. Towards Autonomous Robotic Systems Conference
DOI https://doi.org/10.1007/978-3-319-96728-8_13
Keywords drone, deep learning, convolutional neural network, robot guidance, flight guidance, unmanned aerial vehicle, unmanned aerial system, monocular, pathway detection
Public URL https://durham-repository.worktribe.com/output/1144743


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