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How to localize radiation sources? 


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Radiation sources can be localized using various methods. One approach is to use an autonomous mobile robot to perform a survey in the target area and collect data . The robot's measurement trajectory is information-driven, and it switches between different modes to minimize entropy and reduce variance in unexplored areas while avoiding obstacles . Another method involves searching for a geographical coordinate within the area that satisfies the distance law for radiation propagation . This procedure assumes that the gamma dose values detected at different points come from the background radiation and a single source in the area . Additionally, a distributed scheme with multiple localization sub-networks can be used, along with a neural network to deduce the objective position from hybrid localization parameters . Fusion methods can then be applied to improve the final positioning precision .

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The paper proposes a distributed positioning scheme using multiple localization sub-networks and a neural network to localize radiation sources.
The paper proposes a model-based approach for localizing radiation sources by assuming that gamma dose values detected at different points come from the background radiation and a single source in the area. The procedure searches for a geographical coordinate that satisfies the distance law for the spatial propagation of radiation.
The paper discusses the localization of radiation sources using a regularized particle filter and an autonomous mobile robot.
The paper proposes a distributed positioning scheme using multiple localization sub-networks and a neural network to localize radiation sources.
The paper discusses the localization of radiation sources using a regularized particle filter and an autonomous mobile robot.

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