Using CART to segment road images

Bob Davies; Rainer Lienhart

doi:10.1117/12.650164

16 January 2006 Using CART to segment road images

Bob Davies, Rainer Lienhart

Proceedings Volume 6073, Multimedia Content Analysis, Management, and Retrieval 2006; 60730U (2006) https://doi.org/10.1117/12.650164
Event: Electronic Imaging 2006, 2006, San Jose, California, United States

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.

Citation Download Citation

Bob Davies and Rainer Lienhart "Using CART to segment road images", Proc. SPIE 6073, Multimedia Content Analysis, Management, and Retrieval 2006, 60730U (16 January 2006); https://doi.org/10.1117/12.650164

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