지원사업
학술연구/단체지원/교육 등 연구자 활동을 지속하도록 DBpia가 지원하고 있어요.
커뮤니티
연구자들이 자신의 연구와 전문성을 널리 알리고, 새로운 협력의 기회를 만들 수 있는 네트워킹 공간이에요.
논문 기본 정보
- 자료유형
- 학술대회자료
- 저자정보
- 발행연도
- 2013.10
- 수록면
- 136 - 141 (6page)
이용수
초록· 키워드
오류제보하기
This paper presents a development of guide-dog robot system for visually impaired. Based on a hall-sensor joystick and ultrasonic sensors, a “smart rope” system is designed for the human-robot interaction. In this system, multiple functions are provided for the self-walking in urban system, such as following, navigation and obstacle avoidance. To distinguish between small involuntary force and the intended navigational movement, a fuzzy logic control method is applied to improve the accuracy for the “smart rope” system manipulation. To compensate the lack of visual sense of visually impaired, a smart phone with camera is utilized as the robot vision, in order to detect the traffic lights and the zebra crossing. A fast vision recognition approach is provided based on Adaboosting and Template matching combined algorithm. For the evaluation of proposed method, an integrated system is implemented to the mobile robot platform. The performance of both interactive system and vision system are analyzed after the experiment in the urban environment. System’s accuracy, usefulness and adaptability are verified. The experimental results showed that this new designed guide-dog robot system is suitable and effective to assist the visually impaired for the self-walking.
목차
Abstract
1. INTRODUCTION
2. SYSTEM DESIGN
3. IMPLEMENTATION OF PROPOSED SYSTEM
4. EXPERIMENT RESULTS
5. CONCLUSION
REFERENCE
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