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색 기반의 보행자 검출을 통한 영상 기반의 무인자율주행차량 속도 계획
민경인(Kyungin Min),오재석(Jaesaek Oh),김정하(Jungha Kim) 한국자동차공학회 2013 한국자동차공학회 부문종합 학술대회 Vol.2013 No.5
Unmanned ground vehicle for the road-based driving needs for multiple obstacles, particularly the safety of occupants and pedestrians should be guaranteed. In this study, on the basis of the image information obtained by the vision sensor, it based on image processing to detect pedestrians. After detecting pedestrians, it is used to control the vehicle’s speed control base on the color information of image data. In other words, it adds formal concept of the existing obstacles plus the data of color element(RGB or HSI). It is not simple for a judgment of the presence of this obstacle. It can composition alarm system of image data when unexpected obstacle appeared on the road environment , or recognition length was shorten from obstacle to unmanned ground vehicle. This study may be suggest to another way to take safety problem of unmanned ground vehicle.