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A*3D
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Overview

A*3D dataset is a step forward to make autonomous driving safer for pedestrians and the public in the real world.

  • 230K human-labeled 3D object annotations in 39,179 LiDAR point cloud frames and corresponding frontal-facing RGB images.
  • Captured at different times (day, night) and weathers (sun, cloud, rain).

Data Collection

  • The data collection covers the entire Singapore including highways, neighborhood roads, tunnels, urban, suburban, industrial, HDB car parks, coastline, etc.

  • NuScenes only covers a small portion of Singapore roads (highlighted in red).

    img

Citation

Please use the following citation when referencing the dataset:

@INPROCEEDINGS{astar-3d,
   Author = {Quang-Hieu Pham, Pierre Sevestre, Ramanpreet Singh Pahwa, Huijing Zhan, Chun Ho
Pang, Yuda Chen, Armin Mustafa, Vijay Chandrasekhar, Jie Lin},
   Title = {A*3D Dataset: Towards Autonomous Driving in Challenging Environments},
   Booktitle = {Proc. of The International Conference in Robotics and Automation (ICRA)},
   Year = {2020}
}
数据集信息
应用场景Autonomous Driving
标注类型Box3D
LicenseUnknown
更新时间2021-03-24 22:46:36
数据概要
数据格式Point CloudImage
数据数量0
已标注数量0
文件大小0B
版权归属方
A*STAR(The Agency for Science, Technology and Research)
标注方
未知
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