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cs.RO2026
MR-LiDAR: A Multi-Resolution Roadside LiDAR Benchmark for Perception Diagnostics and Deployment Guidance
Shunlai Cui, Peng Cao, Yuan Zhu +5
LiDAR model selection is a critical issue in roadside sensing systems, as it directly determines both perception capability and deployment cost. However, the lack of empirical benc…
cs.RO2024
A Novel Perception Entropy Metric for Optimizing Vehicle Perception with LiDAR Deployment
Yongjiang He, Peng Cao, Zhongling Su +1
Developing an effective evaluation metric is crucial for accurately and swiftly measuring LiDAR perception performance. One major issue is the lack of metrics that can simultaneous…