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A*3D
3D Box
Autonomous Driving
|...
License: Unknown

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}
}
Data Summary
Type
Point Cloud, Image,
Amount
--
Size
--
Provided by
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.
| Amount -- | Size --
A*3D
3D Box
Autonomous Driving
License: Unknown

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}
}
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