Lyft has released a high definition map and 55,000 3D frames of footage to support advancements in autonomous driving. The mapping data includes features such as lanes, parking signs, and crosswalks, and humans annotated objects in the 3D frames. The data can help researchers develop systems that can better detect objects, estimate depth, and predict the movements of other cars.
Advancing the Development of Autonomous Vehicles
Michael McLaughlin is a research analyst at the Center for Data Innovation. He researches and writes about a variety of issues related to information technology and Internet policy, including digital platforms, e-government, and artificial intelligence. Michael graduated from Wake Forest University, where he majored in Communication with Minors in Politics and International Affairs and Journalism. He received his Master’s in Communication at Stanford University, specializing in Data Journalism.
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