10. DARPA LAGR Program: Learning Applied to Long-Range Vision using a Collision-Free Navigation Platform
coauthor: Raia Hadsell,
The Robotics Institute, School of Computer Science, Carnegie Mellon University
author: Pierre Sermanet, New York University (NYU)
coauthor: Marco Scoffier, New York University (NYU)
coauthor: Jan Ben, New York University (NYU)
coauthor: Chris Crudele, New York University (NYU)
coauthor: Yann LeCun, Computer Science Department, New York University (NYU)
coauthor: Urs Muller, New York University (NYU)
coauthor: Ayse Erkan, New York University (NYU)
coauthor: Matthew Koichi Grimes, New York University (NYU)
published: June 2, 2008, recorded: June 2008, views: 5731
author: Pierre Sermanet, New York University (NYU)
coauthor: Marco Scoffier, New York University (NYU)
coauthor: Jan Ben, New York University (NYU)
coauthor: Chris Crudele, New York University (NYU)
coauthor: Yann LeCun, Computer Science Department, New York University (NYU)
coauthor: Urs Muller, New York University (NYU)
coauthor: Ayse Erkan, New York University (NYU)
coauthor: Matthew Koichi Grimes, New York University (NYU)
published: June 2, 2008, recorded: June 2008, views: 5731
Related content
Report a problem or upload files
If you have found a problem with this lecture or would like to send us extra material, articles, exercises, etc., please use our ticket system to describe your request and upload the data.Enter your e-mail into the 'Cc' field, and we will keep you updated with your request's status.
Description
New York University uses machine learning to extend the vision of the DARPA LAGR robots.
Link this page
Would you like to put a link to this lecture on your homepage?Go ahead! Copy the HTML snippet !
Write your own review or comment: