A Bayesian network fuses vision-based assessments into probabilistic triage decisions, raising overall accuracy from 14% to 53% and diagnostic coverage from 31% to 95% in simulated mass casualty scenarios.
A unified framework for operational range estimation of mobile robots operating on a single discharge to avoid complete immobilization,
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
fields
cs.RO 1years
2026 1verdicts
UNVERDICTED 1representative citing papers
citing papers explorer
-
A Bayesian Reasoning Framework for Robotic Systems in Autonomous Casualty Triage
A Bayesian network fuses vision-based assessments into probabilistic triage decisions, raising overall accuracy from 14% to 53% and diagnostic coverage from 31% to 95% in simulated mass casualty scenarios.