A High-Rate, Heterogeneous Data Set from the Darpa Urban Challenge

A High-Rate, Heterogeneous Data Set from the Darpa Urban Challenge

This paper describes a data set collected by MIT’s autonomous vehicle Talos during the 2007 DARPA Urban Challenge. Data from a high-precision navigation system, five cameras, 12 SICK planar laser range scanners, and a Velodyne high-density laser range scanner were synchronized and logged to disk for...

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Bibliographic Details
Main Authors: Huang, Albert S., Olson, Edwin B., Antone, Matthew, Fletcher, Luke Sebastian, Moore, David C., Teller, Seth, Leonard, John Joseph
Other Authors: Massachusetts Institute of Technology. Computer Science and Artificial Intelligence Laboratory
Format: Article
Language:en_US
Published: Sage Publications 2012
Online Access:http://hdl.handle.net/1721.1/73537
https://orcid.org/0000-0002-8863-6550

Internet

http://hdl.handle.net/1721.1/73537
https://orcid.org/0000-0002-8863-6550

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