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cs.CV2026
A Lightweight Model-Driven 4D Radar Framework for Pervasive Human Detection in Harsh Conditions
Zhenan Liu, Amir Khajepour, George Shaker
Pervasive sensing in industrial and underground environments is severely constrained by airborne dust, smoke, confined geometry, and metallic structures, which rapidly degrade opti…
cs.CV2026★ 1 cited
Real-Time 4D Radar Perception for Robust Human Detection in Harsh Enclosed Environments
Zhenan Liu, Yaodong Cui, Amir Khajepour +1
This paper introduces a novel methodology for generating controlled, multi-level dust concentrations in a highly cluttered environment representative of harsh, enclosed environment…