This git repository provides a framework for rapidly prototyping, verifying and evaluating algorithmic approaches to the problem of distributed static and moving target recovery when given limited environment visibility.

The core source code used to generate results and data is given in this repository for public use and further work.

For further details, results, etc. see the ReadMe.txt file and the associated paper: W Andrew, C Greatwood, T Burghardt. Deep Learning for Exploration and Recovery of Uncharted and Dynamic Targets from UAV-like Vision. 31st IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), October 2018.

Complete download (zip, 5.7 MiB)

Alternative title Grid-based Target Recovery Framework - IROS2018
Creator(s) William Andrew
Contributor(s) Tilo Burghardt, Colin Greatwood, William Andrew
Publication date 26 Sep 2018
Language eng
Publisher University of Bristol
Licence Non-Commercial Government Licence for public sector information
DOI 10.5523/bris.2zot65rxlmgqq23au92qwkaa3x
Citation William Andrew (2018): GTRF2018.
Total size 5.7 MiB


Data Resources