Earticle

초록

영어

This research has been conducted to develop a prevention module of collision and balance lost in electric wheelchairs. Ultrasonic sensors were used for detecting obstacles. Giro and acceleration sensors were used for measuring the tilt angle of wheel chair frame. Kalman filters were employed for filtering high-frequency noise of acceleration sensor and removing zero drift of the Giro sensor. The presence and location of obstacles were detected, and their information was sent to the user smartphone. When the tilt angle of the wheelchair frame exceeded a certain value, a warning signal was set to operate. Raspberry Pi camera module was used to transfer rear view image data to the smartphone to help the driver acknowledge obstacles in the rear side. A DSP processor with high computing performance was necessary to realize a real-time processing of the sensor and image data. Our research showed that a prevention module of collision and balance lost connected to a smartphone can be realized at a considerable low price.

목차

ABSTRACT
1. 서론
2. 센서 및 제어 시스템 설계
2.1 초음파센서
2.2 기울기 센서
2.3 후방 카메라
2.4 제어시스템
3. 실험 결과
3.1 초음파센서
3.2 기울기센서
3.3 후방 카메라
4. 고찰
5. 결론
후기
References

키워드

저자

• 김태현 [ Tae-Hyun Kim | Handong Global University, Undergraduate ]
• 제양규 [ Yang-Gyu Jei | Handong Global University, Professor ]
• 이종선 [ Chong-Sun Lee | Professor, Dept. of Mechanical and Control Engineering, Handong Global University ] Corresponding author

참고문헌

발행기관

간행물

표지보기 관심저널 등록

• 간행물명

  한국기계항공기술학회지(구 한국기계기술학회지) [Journal of the Korean Society of Mechanical and Aviation Technology ]

• 간기

  격월간

• pISSN

  1229-604X

• eISSN

  2508-3805

• 수록기간

  1999~2026

• 등재여부

  KCI 등재

• 십진분류

  KDC 550 DDC 620