Used by over 8,000 researchers and cited in 250 published scientific papers, NuScenes is an autonomous driving AI dataset product developed by Aptiv and Motional for the transport & mobility industry. The NuScenes dataset was publicly released by Aptiv on 27 March 2019 and the autonomous driving dataset was further expanded by Motional on 2 Sep 2020.
According to Aptiv, the nuScenes Dataset is acquired from the entire sensor suite of an autonomous vehicle (6 cameras, 1 LIDAR, 5 RADAR, GPS, IMU). The entire dataset contains 1,000 scenes of 20 second lengths, which includes approximately 1.4M camera images, 390k LIDAR sweeps, 1.4M RADAR sweeps and 1.4M object bounding boxes in 40k keyframes.
Location/Environment: Boston and Singapore, two cities that are known for dense traffic and highly challenging driving situations.
Product | nuScenes |
Company | Motional (USA) and Aptiv (USA) |
Function | autonomous driving AI dataset |
Release Date | 2019-03-27 |
#Frames/Images | 40000 |
Locations | Singapore and USA - Boston |
Industry | Transport & Mobility |
Tech Domain | Robotics and AI |
URL | https://www.nuscenes.org/ |
Used by over 8,000 researchers and cited in 250 published scientific papers, NuScenes is an autonomous driving AI dataset product developed by Aptiv and Motional for the transport & mobility industry. The NuScenes dataset was publicly released by Aptiv on 27 March 2019 and the autonomous driving dataset was further expanded by Motional on 2 Sep 2020. According to Aptiv, the nuScenes Dataset is acq.. Read More
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