모바일 임베디드 기반의 물체검출 영상처리

• 영문명: Object Detection Image Processing based on the Mobile Embedded Environment
• 발행기관: 한국컴퓨터게임학회
• 저자명: 김상훈(Sang Hoon Kim) 권혁성(Hyuk Sung Kwon)
• 간행물 정보: 『한국컴퓨터게임학회논문지』제26권 1호, 115~121쪽, 전체 7쪽
• 주제분류: 공학 > 컴퓨터학
• 파일형태: PDF
• 발행일자: 2013.03.30

영문 초록

The robot in this paper combines the suction and aerodynamic attraction to achieve good balance between strong adhesion force and high mobility. Experimental results showed that the robot can move upward on the wall at the speed of 2.9m/min and carry 5kg payload in addition to 2.5kg self-weight, which record the highest payload capacity among climbing robots of similar size. With two 11.1V lithium-polymer battery, the robot can operate continuously for half hours. A wireless camera system, zigbee protocol module and several sensors was adopted for detecting dangerous situation on the wall and for sending alarm signals to remote sensor node or controller based on the color normalization and image segmentation technique.

목차

ABSTRACT

1. 서론

2. 임베디드 시스템의 구성

3. 임베디드 시스템에서의 영상처리

4. 실험

5. 결론

참고문헌

키워드

wall climbing object detection embedded image processing adhesion technique