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SEEDPOD Ground Risk: A Python application and library for Uncrewed Aerial Systems ground risk analysis and risk-aware path finding

SEEDPOD Ground Risk: A Python application and library for Uncrewed Aerial Systems ground risk analysis and risk-aware path finding
SEEDPOD Ground Risk: A Python application and library for Uncrewed Aerial Systems ground risk analysis and risk-aware path finding
Full Strike and Fatality risk maps given areas. Currently the parameters for the wind etc, are not patched through to UI. CUDA implementation now used preferentially to CPU bound impl for risk map generation. This relies on a supported Nvidia GPU and working install of CUDA toolkit. This is checked for by the existence of a CUDA_HOME environment variable pointing to the install. Command Line Interface created and documented, however wheels need to built from source due to local dependencies not being possible to pre package.
Zenodo
Pilko, Aliaksei
cee7c26f-f6ab-459a-822d-44d802ba798b
Tait, Zachary
0a012ec4-05b9-49d0-ab3f-45ac58e1b883
Pilko, Aliaksei
cee7c26f-f6ab-459a-822d-44d802ba798b
Tait, Zachary
0a012ec4-05b9-49d0-ab3f-45ac58e1b883

(2021) SEEDPOD Ground Risk: A Python application and library for Uncrewed Aerial Systems ground risk analysis and risk-aware path finding. Zenodo doi:10.5281/zenodo.4776528 [Software]

Record type: Software

Abstract

Full Strike and Fatality risk maps given areas. Currently the parameters for the wind etc, are not patched through to UI. CUDA implementation now used preferentially to CPU bound impl for risk map generation. This relies on a supported Nvidia GPU and working install of CUDA toolkit. This is checked for by the existence of a CUDA_HOME environment variable pointing to the install. Command Line Interface created and documented, however wheels need to built from source due to local dependencies not being possible to pre package.

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More information

Published date: 20 May 2021

Identifiers

Local EPrints ID: 453317
URI: http://eprints.soton.ac.uk/id/eprint/453317
DOI: doi:10.5281/zenodo.4776528
PURE UUID: a898e66c-c70b-4ee6-8ff9-0f3841c75662
ORCID for Aliaksei Pilko: ORCID iD orcid.org/0000-0003-0023-0300

Catalogue record

Date deposited: 12 Jan 2022 17:42
Last modified: 17 Mar 2024 04:05

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Contributors

Author: Aliaksei Pilko ORCID iD
Author: Zachary Tait

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