RESOLVE provides a controlled multi-resolution LiDAR and camera benchmark for evaluating 3D detection and tracking under point sparsity variations in roadside cooperative perception.
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2 Pith papers cite this work. Polarity classification is still indexing.
2
Pith papers citing it
years
2026 2representative citing papers
MR-LiDAR benchmark shows an 80-beam LiDAR with optimized distribution can match or exceed 128-beam uniform LiDAR for roadside vehicle and VRU detection.
citing papers explorer
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RESOLVE: A Multi-Resolution and Multi-Modal Dataset for Roadside Cooperative Perception
RESOLVE provides a controlled multi-resolution LiDAR and camera benchmark for evaluating 3D detection and tracking under point sparsity variations in roadside cooperative perception.
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MR-LiDAR: A Multi-Resolution Roadside LiDAR Benchmark for Perception Diagnostics and Deployment Guidance
MR-LiDAR benchmark shows an 80-beam LiDAR with optimized distribution can match or exceed 128-beam uniform LiDAR for roadside vehicle and VRU detection.