@article{ref1,
title="Onboard evolutionary risk recognition system for automobiles--toward the risk map system",
journal="IEEE transactions on industrial electronics",
year="2007",
author="Ogawa, Genya and Kise, Katsuyuki and Torii, Tsuyoshi and Nagao, Tomoharu",
volume="54",
number="2",
pages="878-886",
abstract="To achieve a system that improves the safety and comfort of the vehicle driving, a recognition system equivalent to the human recognition ability should be developed. However, the vehicle environment is complicated and involves situations so diverse that a uniform recognition processing approach cannot function sufficiently. For a solution to this problem, we have been studying a comprehensive risk recognition system, which we call the risk map system, with learning capability. As part of this paper, a system has been developed that autonomously obtains the image recognition processing. This paper presents a system as an example that automatically learns through genetic programming to obtain the image processing of pedestrians and vehicles taken by an onboard camera system<p />",
language="",
issn="0278-0046",
doi="10.1109/TIE.2007.891654",
url="http://dx.doi.org/10.1109/TIE.2007.891654"
}