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A*3D
3D Box
Autonomous Driving
|...
许可协议: CC-BY-NC-SA 4.0

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}
}

License

This dataset is for non-commercial research purposes only. A [Non-Commercial Use Agreement](https://github.com/I2RDL2/ASTAR-3D/blob/master/Use Agreement.pdf) needs to be signed with handwritten signature. Please attach a signed copy in the email astar3dteam@a3d.page.

数据概要
数据格式
fusion, point cloud, image,
数据量
--
文件大小
--
发布方
A*STAR(The Agency for Science, Technology and Research)
The Agency for Science, Technology and Research (A*STAR) drives mission-oriented research that advances scientific discovery and technological innovation. It plays a key role in nurturing and developing talent and leaders for our Research Institutes, the wider research community, and industry.
| 数据量 -- | 大小 --
A*3D
3D Box
Autonomous Driving
许可协议: CC-BY-NC-SA 4.0

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}
}

License

This dataset is for non-commercial research purposes only. A [Non-Commercial Use Agreement](https://github.com/I2RDL2/ASTAR-3D/blob/master/Use Agreement.pdf) needs to be signed with handwritten signature. Please attach a signed copy in the email astar3dteam@a3d.page.

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