Home BlogDataset Creating a Dataset for Using Autonomous Vehicles in Multiple Environments

Creating a Dataset for Using Autonomous Vehicles in Multiple Environments

by Michael McLaughlin
by
Images of driving scenarios, such as driving on a highway, in a tunnel, and through construction.

Ford has released the Ford Autonomous Vehicle Dataset, which contains raw data from autonomous vehicles humans manually drove for 41 miles in and around Detroit. The dataset includes information from LiDAR sensors and cameras as well as pedestrian pose data and 3D maps. Ford collected the data in multiple weather and traffic conditions, such as driving through a construction zone on a cloudy day.

Get the data.

 

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Michael McLaughlin

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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