TY  - JOUR
PY  - 2007//
TI  - Onboard evolutionary risk recognition system for automobiles--toward the risk map system
JO  - IEEE transactions on industrial electronics
A1  - Ogawa, Genya
A1  - Kise, Katsuyuki
A1  - Torii, Tsuyoshi
A1  - Nagao, Tomoharu
SP  - 878
EP  - 886
VL  - 54
IS  - 2
N2  - 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 /> 
LA  - 
SN  - 0278-0046
UR  - http://dx.doi.org/10.1109/TIE.2007.891654
ID  - ref1
ER  -