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About this paper
Pengchuan Xiao, Zhenlei Shao, Steven Hao, Zishuo Zhang, Xiaolin Chai, Judy Jiao, Zesong Li, Jian Wu and 4 more
PandaSet introduces a new open-source dataset for autonomous driving, featuring a unique combination of 360-degree mechanical spinning and long-range forward-facing LiDARs along with multiple cameras, extending object detection capabilities up to 300 meters. Developed through a collaboration involving Hesai Technology, Tsinghua University, and Scale AI, it provides rich annotations for 28 object classes and 37 semantic segmentation labels across diverse urban environments, notably offering a free commercial license.
Key insights
- Integrating a 360-degree mechanical LiDAR with a long-range forward-facing LiDAR significantly extends perception range (up to 300m), crucial for advanced autonomous driving.
- Comprehensive, multi-sensor fusion ground truth annotation with a rich taxonomy (28 object, 37 semantic classes) and higher instance density is vital for robust perception model training.
- Offering an open-source dataset with a free commercial license democratizes access to high-quality autonomous driving data, fostering wider innovation across research and industry.
Summary by alphaXiv.
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