ReaLiTy transforms LiDAR data using physics models and learning to simulate sensor and weather changes, backed by the LADS dataset for adaptation studies.
Lidar light scattering augmentation (lisa): Physics-based simulation of adverse weather conditions for 3d object detection
2 Pith papers cite this work. Polarity classification is still indexing.
2
Pith papers citing it
years
2026 2verdicts
UNVERDICTED 2representative citing papers
Integrates 4D radar with Doppler-guided spatial attention into cooperative perception, releases OPV2V-R and Adver-City-R benchmarks, and reports robustness gains when radar replaces or complements degraded LiDAR and camera.
citing papers explorer
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ReaLiTy and LADS: A Unified Framework and Dataset Suite for LiDAR Adaptation Across Sensors and Adverse Weather Conditions
ReaLiTy transforms LiDAR data using physics models and learning to simulate sensor and weather changes, backed by the LADS dataset for adaptation studies.
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4D Radar Meets LiDAR and Camera: Cooperative Perception under Adverse Weather
Integrates 4D radar with Doppler-guided spatial attention into cooperative perception, releases OPV2V-R and Adver-City-R benchmarks, and reports robustness gains when radar replaces or complements degraded LiDAR and camera.