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Proceedings Paper

Using CART to segment road images
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Paper Abstract

The 2005 DARPA Grand Challenge is a 132 mile race through the desert with autonomous robotic vehicles. Lasers mounted on the car roof provide a map of the road up to 20 meters ahead of the car but the car needs to see further in order to go fast enough to win the race. Computer vision can extend that map of the road ahead but desert road is notoriously similar to the surrounding desert. The CART algorithm (Classification and Regression Trees) provided a machine learning boost to find road while at the same time measuring when that road could not be distinguished from surrounding desert.

Paper Details

Date Published: 16 January 2006
PDF: 12 pages
Proc. SPIE 6073, Multimedia Content Analysis, Management, and Retrieval 2006, 60730U (16 January 2006); doi: 10.1117/12.650164
Show Author Affiliations
Bob Davies, Intel Research (United States)
Rainer Lienhart, Univ. Augsburg (Germany)

Published in SPIE Proceedings Vol. 6073:
Multimedia Content Analysis, Management, and Retrieval 2006
Edward Y. Chang; Alan Hanjalic; Nicu Sebe, Editor(s)

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