In an effort to spur greater research into self-driving car safety, automotive tech firm Aptiv is releasing a massive data set to the public. Called NuScenes by Aptiv, it’s made up of sensor data from Aptiv self-driving cars harvested during testing on public roads. Aptiv claims it is the largest data set of its kind to be made available to the public. “We appreciate the importance of transparency and building trust in AVs [autonomous vehicles],” Karl Iagnemma, president of Aptiv Autonomous Mobility, said in a statement. The kind of data being released “has traditionally been kept confidential with academic communities, cities, and the public at large,” he said. The NuScenes by Aptiv data set includes 1.4 million images, 390,000 lidar sweeps, and 1.4 million 3D “human annotated bounding boxes,” according to Aptiv. The data is organized into 1,000 “scenes” representing real-life driving scenarios from the streets of Boston and Singapore, the company said. To date, over 1,000 users and 200 academic institutions have registered for access to the data set, according to Aptiv. The fact that data comes from Boston and Singapore indicates it was collected by NuTonomy, an autonomous-driving tech startup bought by Aptiv predecessor Delphi in 2017. NuTonomy… Read full this story
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