Autonomous driving paper index
Label quality as a bottleneck for YOLO detection in all-weather autonomous driving using the MUSES dataset
autonomous driving
One-line summary
An autonomous driving research paper: Label quality as a bottleneck for YOLO detection in all-weather autonomous driving using the MUSES dataset.
Engineering notes
Key topics: autonomous driving. See the paper for implementation details and experimental results.
Chinese explanation / 中文解读
中文解读待补充：本站会优先为端到端自动驾驶、BEV感知、3D目标检测、轨迹预测、路径规划、LiDAR感知等高价值论文补充中文说明。
Original abstract
5.0Engineering value
7.0Research novelty
5.0Business relevance
Links and sources
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