5 papers
Robust Multi-Source DoA Estimation under Weather-Induced Distortion: Structured Covariance Methods and Performance Bounds
Chenyang Yan, Geert Leus, Mats Bengtsson
Direction-of-arrival (DoA) estimation in adverse weather is degraded by propagation-induced phase and amplitude distortions that violate the covariance structure assumed by classic…
IDSOR: Intensity- and Distance-Aware Statistical Outlier Removal for Weather-Robust LiDAR Point Clouds
Chenyang Yan, Mats Bengtsson
LiDAR point clouds captured in rain or snow are often corrupted by weather-induced returns, which can degrade perception and safety-critical scene understanding. This paper propose…
Obstacle Detection at Level Crossings under Adverse Weather Conditions -- A Survey
Chenyang Yan, Mats Bengtsson
Level crossing accidents remain a significant safety concern in modern railway systems, particularly under adverse weather conditions that degrade sensor performance. This review s…
Uncertainty-Weighted Multi-Task CNN for Joint DoA and Rain-Rate Estimation Under Rain-Induced Array Distortions
Chenyang Yan, Ruonan Yang, Shunqiao Sun +1
We investigate joint direction-of-arrival (DoA) and rain-rate estimation for a uniform linear array operating under rain-induced multiplicative distortions. Building on a wavefront…
Robust Covariance-Based DoA Estimation under Weather-Induced Distortion
Chenyang Yan, Geert Leus, Mats Bengtsson
We investigate robust direction-of-arrival (DoA) estimation for sensor arrays operating in adverse weather conditions, where weather-induced distortions degrade estimation accuracy…