Change-Aware Reliability-Gated Sensor Fusion: Risk-Bounded Decisions Under Infrastructure Modifications and Model Uncertainty
Year: 2026
Type: preprint
Abstract: A simulation study. No field data are used; all parameters are assumptions. Prepared for submission to Tunnelling and Underground Space Technology (Elsevier). A decision layer above ground-penetrating radar (250 and 600 MHz), an electromagnetic locator and a known anchor carries the probability that a utility lies on the tracked alignment along a corridor of 5 m segments with a Bayesian filter, and reports each segment as present, absent or unverified; unverified marks soil, utility and depth combinations whose expected detection probability is below 0.3, so that sensor silence is never reported as clearance. A seeded Monte Carlo study compares fifteen baselines and ablations, stress cases (lateral shifts, an uncertain anchor, sensor failure, correlated evidence), probability calibration and an excavation-clearance trial, and reports detection, calibration, location and depth accuracy and the share left unverified separately, with explicit denominators. Code and results: https://github.com/sandlerleon/subsurface-risk-calibrated-mapping, archived at 10.5281/zenodo.23306881.
Author: Sandler, Leon
Language: English
Subfield: Ocean Engineering
Field: Engineering
Domain: Physical Sciences
Open Access status: green
OpenAlex ID: W7221504538
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