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SEEDPOD Ground Risk Prototype

Proof of Concept demonstrating modelling of ground risk from open source data sources.

All data processing is performed locally, so performance depends on your machine spec. At least 8GiB of RAM is essential however.

Developed as part of the SEEDPOD project funded by the CASCADE programme grant (EP/R009953/1).

Method

Residential population density

TODO

Hourly road traffic population

TODO

Disclaimer

This is intended to provide guidance on overflight risks in terms of risk-to-life (RtL) and is by no means an extensive or complete picture of the ground risks. While the software is intended to promote safe drone flight, use of this software does not in itself guarantee safe or legal drone operation. Follow the drone code.

License

MIT License

Copyright (c) 2021 Aliaksei Pilko

Permission is hereby granted, free of charge, to any person obtaining a copy
of this software and associated documentation files (the "Software"), to deal
in the Software without restriction, including without limitation the rights
to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
copies of the Software, and to permit persons to whom the Software is
furnished to do so, subject to the following conditions:

The above copyright notice and this permission notice shall be included in all
copies or substantial portions of the Software.

THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
SOFTWARE.

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Ground Risk model for UAS flight path analysis and risk-aware path finding

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  • Python 99.0%
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