Aptiv releases 'industry’s largest' public dataset for autonomous driving
Aptiv PLC announced the full release of "nuScenes by Aptiv," an open-source autonomous vehicle (AV) dataset. Through sharing critical safety data with the public, Aptiv says it aims to broadly support research into computer vision and autonomous driving by AV innovators and academic researchers to further advance the mobility industry.
nuScenes by Aptiv is organized into 1000 “scenes” collected from Boston and Singapore, and it is representative of some of the most complex driving scenarios in each urban environment, according to the company. The nuScenes dataset is composed of 1.4 million images, 390K LiDAR sweeps, and 1.4M 3D human annotated bounding boxes. To date, more than 1000 users and more than 200 academic institutions have registered to access the dataset.
“At Aptiv, we believe that we make progress as an industry by sharing—especially when it comes to safety,” said Karl Iagnemma, President of Aptiv Autonomous Mobility. “Our team thought carefully about the components of our data that we could open to the public in order to enable safer, smarter systems across the entire autonomous vehicle space. We appreciate the importance of transparency and building trust in AVs, and we look forward to sharing "nuScenes by Aptiv," information that has traditionally been kept confidential with academic communities, cities, and the public at-large.”
To explore the dataset, visit nuScenes.org.