Goal-oriented optimal sensor placement for PDE-constrainedinverse problems in crisis management
This paper presents a novel framework for goal-oriented optimal static sensor placement anddynamic sensor steering in PDE-constrained inverse problems, utilizing a Bayesian approachaccelerated by low-rank approximations. The framework is applied to airborne contaminanttracking, extending recent dynamic sensor steering methods to complex geometries for compu-tational efficiency.
Authors
- Max von Danwitz (ORCID: https://orcid.org/0000-0002-2814-0027)
- Daniel Wolff
- Marco Mattuschka
- Popp Alexander
- Noah An der Lan
Publication Details
- Journal
- elib (German Aerospace Center)
- Published
- 2026-02-01
- DOI
- https://doi.org/10.24423/cames.2026.1887
- Primary Topic
- Numerical methods in inverse problems
- Type
- article
- Field-Weighted Citation Impact
- 0.00