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Radiation source localization in gps-denied environments using aerial robots
This paper details the system and methods developed to enable autonomous nuclear
radiation source localization and map** using aerial robots in GPS-denied environments …
radiation source localization and map** using aerial robots in GPS-denied environments …
Gamma-ray point-source localization and sparse image reconstruction using Poisson likelihood
Gamma-ray imaging attempts to reconstruct the spatial and intensity distribution of gamma-
emitting radionuclides from a set of measurements. Generally, this problem is solved by …
emitting radionuclides from a set of measurements. Generally, this problem is solved by …
Autonomous map** and spectroscopic analysis of distributed radiation fields using aerial robots
This paper presents a strategy for field estimation and informative path planning towards
autonomous map** and radiological characterization of distributed gamma radiation fields …
autonomous map** and radiological characterization of distributed gamma radiation fields …
IMUPF-BIN: A new autonomous search method for radioactive sources
To solve the problem of mobile robots autonomously searching for unknown radioactive
sources, this paper proposes an automatic source search strategy, abbreviated as IMUPF …
sources, this paper proposes an automatic source search strategy, abbreviated as IMUPF …
Reconstructing the position and intensity of multiple gamma-ray point sources with a sparse parametric algorithm
We present an experimental demonstration of additive point source localization (APSL), a
sparse parametric imaging algorithm that reconstructs the 3-D positions and activities of …
sparse parametric imaging algorithm that reconstructs the 3-D positions and activities of …
Distributed radiation field estimation and informative path planning for nuclear environment characterization
This paper details the system and methods designed to enable the autonomous estimation
of distributed nuclear radiation fields within complex and possibly GPS-denied …
of distributed nuclear radiation fields within complex and possibly GPS-denied …
Improved gamma-ray point source quantification in three dimensions by modeling attenuation in the scene
Using a series of detector measurements taken at different locations to localize a source of
radiation is a well-studied problem. The source of radiation is sometimes constrained to a …
radiation is a well-studied problem. The source of radiation is sometimes constrained to a …
Localizing unknown radiation sources by unscented particle filtering based on divide-and-conquer sampling
Y Liu, Y Xuan, D Zhang, S Zou - Journal of Nuclear Science and …, 2022 - Taylor & Francis
Predictive estimation of radioactive sources using Bayesian theory is of great importance in
nuclear emergency response. To this aim, we put forward an unscented particle filtering …
nuclear emergency response. To this aim, we put forward an unscented particle filtering …
[HTML][HTML] An autonomous radiation source detection policy based on deep reinforcement learning with generalized ability in unknown environments
H Hu, J Wang, A Chen, Y Liu - Nuclear Engineering and Technology, 2023 - Elsevier
Autonomous radiation source detection has long been studied for radiation emergencies.
Compared to conventional data-driven or path planning methods, deep reinforcement …
Compared to conventional data-driven or path planning methods, deep reinforcement …
Autonomous distributed 3d radiation field estimation for nuclear environment characterization
This paper contributes a method designed to enable autonomous distributed 3D nuclear
radiation field map**. The algorithm uses a single radiation sensor and a sequence of …
radiation field map**. The algorithm uses a single radiation sensor and a sequence of …