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Aerial Coverage Path Planning in Nuclear Emergencies a Training and Evaluation Environment

MCML Authors

Abstract

We formulate a Coverage Path Planning (CPP) problem for a helicopter or a UAV tasked with mapping ground-level radiation while avoiding radiation that is too strong. We introduce a simulation environment that incorporates digital elevation models, altitude-dependent measurement footprints and realistic flight constraints, as well as state-of-the-art radiation scenario simulations, such as nuclear explosions, provided by the German Federal Office for Radiation Protection. We highlight the complexity of radiological survey missions and demonstrate the necessity for new CPP approaches that address these unique challenges. The code to our simulation environment will be provided upon acceptance.

inproceedings


Demonstration Track @IJCAI 2025

Demonstration Track at the 34th International Joint Conference on Artificial Intelligence. Montreal, Canada, Aug 16-22, 2025.

Authors

J. BlakeM. Schubert

Links

DOI

Research Area

 A3 | Computational Models

BibTeXKey: BS25a

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