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Extending Deep Neural Network Trail Navigation for Unmanned Aerial Vehicle Operation within the Forest Canopy - Evaluation [dataset] Open Access

Autonomous flight within a forest canopy represents a key challenge for generalised scene understanding on-board a future Unmanned Aerial Vehicle (UAV) platforms. Here we present an approach for automatic trail navigation within such an unstructured environment that successfully generalises across differing image resolutions - allowing UAV with a varying sensor payload capabilities to operate equally in such challenging environmental conditions. Specifically, this work presents an optimised deep neural network architecture, capable of state-of-the-art performance across varying resolution aerial UAV imagery, that improves forest trail detection for UAV guidance even when using significantly low resolution images that are representative of low-cost search and rescue capable UAV platforms. Used in the paper: Extending Deep Neural Network Trail Navigation for Unmanned Aerial Vehicle Operation within the Forest Canopy (B.G. Maciel-Pearson, P. Carbonneau, T.P. Breckon), In Proc. Towards Autonomous Robotic Systems Conference, Springer, 2018.

Descriptions

Resource type
Dataset
Contributors
Creator: Maciel-Pearson, Bruna G. 1
Creator: Breckon, Toby P. 1
1 Durham University
Funder
Engineering and Physical Sciences Research Council
Research methods
Other description
Keyword
Deep learning
Trail detection
Autonomous Unmanned Aerial Vehicle
Unstructured environment
Drone
Convolutional Neural Network
UAV
Subject
Robotics
Deep Learning
Monocular Vision
Computer Science
Machine Learning
Location
Durham, England, United Kingdom
Language
English
Cited in
Extending Deep Neural Network Trail Navigation for Unmanned Aerial Vehicle Operation within the Forest Canopy (B.G. Maciel-Pearson, P. Carbonneau, T.P. Breckon), In Proc. Towards Autonomous Robotic Systems Conference, Springer, pp. 1-11, 2018.
Identifier
ark:/32150/r1st74cq45z
doi:10.15128/r1st74cq45z
Rights
All rights reserved All rights reserved
Publisher
Durham University
Date Created
2018

File Details

Depositor
B.G. Maciel Pearson
Date Uploaded
Date Modified
4 May 2018, 13:05:23
Audit Status
Audits have not yet been run on this file.
Characterization
File format: zip (ZIP Format)
Mime type: application/zip
File size: 1798571204
Last modified: 2018:05:04 13:24:35+01:00
Filename: UAVTrailNavigationDataset-Pearson-Breckon-2018-1211-0305-version3.zip
Original checksum: e4781cdfeb6cedbc9673de51c3c67094
Activity of users you follow
User Activity Date
User O.J. Lyytinen has updated Extending Deep Neural Network Trail Navigation for Unmanned Aerial Vehicle Operation within the Forest Canopy - Evaluation [dataset] 6 months ago
User O.J. Lyytinen has updated Extending Deep Neural Network Trail Navigation for Unmanned Aerial Vehicle Operation within the Forest Canopy - Evaluation [dataset] 6 months ago
User N. Syrotiuk has updated Extending Deep Neural Network Trail Navigation for Unmanned Aerial Vehicle Operation within the Forest Canopy - Evaluation [dataset] 6 months ago
User N. Syrotiuk has updated Extending Deep Neural Network Trail Navigation for Unmanned Aerial Vehicle Operation within the Forest Canopy - Evaluation [dataset] 6 months ago
User N. Syrotiuk has updated Extending Deep Neural Network Trail Navigation for Unmanned Aerial Vehicle Operation within the Forest Canopy [dataset] 6 months ago
User N. Syrotiuk has updated Extending Deep Neural Network Trail Navigation for Unmanned Aerial Vehicle Operation within the Forest Canopy [dataset] 6 months ago
User N. Syrotiuk has updated Extending Deep Neural Network Trail Navigation for Unmanned Aerial Vehicle Operation within the Forest Canopy - Dataset 6 months ago
User B.G. Maciel Pearson has updated Extending Deep Neural Network Trail Navigation for Unmanned Aerial Vehicle Operation within the Forest Canopy - Dataset 6 months ago
User B.G. Maciel Pearson has updated Extending Deep Neural Network Trail Navigation for Unmanned Aerial Vehicle Operation within the Forest Canopy - Dataset 6 months ago
User B.G. Maciel Pearson has updated Extending Deep Neural Network Trail Navigation for Unmanned Aerial Vehicle Operation within the Forest Canopy 6 months ago
User B.G. Maciel Pearson has updated Extending Deep Neural Network Trail Navigation for Unmanned Aerial Vehicle Operation within the Forest Canopy 6 months ago
User B.G. Maciel Pearson has updated Extending Deep Neural Network Trail Navigation for Unmanned Aerial Vehicle Operation within the Forest Canopy 6 months ago
User B.G. Maciel Pearson has updated Extending Deep Neural Network Trail Navigation for Unmanned Aerial Vehicle Operation within the Forest Canopy 6 months ago
User B.G. Maciel Pearson has updated Extending Deep Neural Network Trail Navigation for Unmanned Aerial Vehicle Operation within the Forest Canopy 6 months ago
User B.G. Maciel Pearson has deposited UAVTrailNavigationDataset-Pearson-Breckon-2018-1100-0205-version1.zip 6 months ago