Onboard Evolutionary Risk Recognition System for Automobiles—Toward the Risk Map System
Genya Ogawa, Katsuyuki Kise, Tsuyoshi Torii, Tomoharu Nagao · IEEE Transactions on Industrial Electronics · 2007
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