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Based on minimum dose path-searching method, walking path-planning method for multiple radiation areas was designed to solve minimum dose path problem in single area and find minimum dose path in the whole space in this paper.
This paper proposes a sampling-based method (SBM) for planning minimum dose path navigation for workers in nuclear facilities.
The results show that the GB-RRT∗ performs better than RRT∗ in both convergence and reliability toward achieving the minimum dose path.
Hence, we present a more reliable and efficient for providing the minimum dose path for occupational workers especially in complex radioactive environments with clutter obstacles and narrow areas.
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Considering the nuclear facilities scene can be dynamic and changeable, we designed a dynamic minimum dose walking path-searching method based on the static minimum dose walking path-planning method earlier, and built path-planning simulation platform for nuclear radiation environment with virtual reality technology to plan walking path and virtual simulation.
To obtain an optimized walking path with minimum dose without considering the pre-designed road networks, a sampling-based method that utilizes the rapidly exploring random tree star (RRT*) algorithm, applicable in both continuous and discrete radiation fields, was proposed and implemented.
This paper develops an approach to provide path navigation with minimum dose for occupational workers in nuclear facilities to increase personnel safety.
A minimum dose method based on staff walking road network model was proposed for the walking-path planning in nuclear facilities.
Minimum dose to 70% of a volume.
Maximum benefit is prioritized over minimum dose.
Patients that attend a minimum of 7 sessions will be considered "minimum dose completers" [ 36].
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