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Onboard Evolutionary Risk Recognition System for Automobiles—Toward the Risk Map System

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4 Author(s)
Ogawa, G. ; Subaru Tech. Res. Center, Fuji Heavy Industries Ltd, Mitaka ; Kise, K. ; Torii, T. ; Nagao, T.

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

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Industrial Electronics, IEEE Transactions on  (Volume:54 ,  Issue: 2 )