Development Report:
Application of Images and Laser Range to Detection of Workers Around Heavy Construction Equipment
Soungho Chae
Kajima Technical Research Institute, 19-1 Tobitakyu, Chofu-shi, Tokyo 182-0036, Japan
This paper describes the application of sensors to prevent collision accidents with heavy equipment such as hydraulic excavators and cranes. From the results of an existing system evaluation, the author developed a system that measures distance from heavy equipment to personnel using a camera, 2-D laser range finder, and 3-D orientation sensor. A prototype wasmade and it has been confirmed that the detection of personnel is possible based on camera images and laser range data.
- [1] Japan Construction Machinery and Construction Association, “Safety guideline of construction heavy equipment,” JCMA, Feb. 2006.
- [2] K. Hashimoto and T. Ogasawara, “Development of preventing system for collision accident with excavator,” Construction machinery, pp. 24-30, Nov. 1998.
- [3] T. Yoshida and M. Mogi, “Safety of heavy equipment- development of preventing technology for collision accident with excavator,” Construction machinery, pp. 3-7, Mar. 1996.
- [4] T. Yoshida, “Development wireless warning device of heavy equipment approaching,” Planning of construction work, pp. 25-29, June 2007.
- [5] T. Nsigaya, “Preventing of collision accident with warning device,” Planning of construction work, pp. 41-46, Jul. 2008.
- [6] S. Ohtsu et al., “The positioning system of mobile equipment with differential GPS-An application for watching system of smash among migratory cranes,” JARA, Proc. of the sixth symposium on construction robotics in japan, pp. 103-112, Jul. 1997.
- [7] J. Nishimura, “Measure of mobile object with survey instrument and its application,” AIJ, 11th construction robot symposium, pp. 7-14, Jan. 1997.
- [8] S. Chae et al., “Application of RFID technology to prevention of collision accident with heavy equipment,” Automation in construction, pp. 368-374, 2010.
- [9] K. Takeuchi, T. Hane, and D. Takase, “The study of technology monitoring workers movements on a construction site,” Trans. of AIJ, pp. 795-796, Sep. 2001.
- [10] W. Abd-Almageed et al., “Real-Time Human detection and Tracking from Mobile Vehicles,” Intelligent Transportation Systems Conf., pp. 149-154, 2007.
- [a] Ministry of Health, Labor and Welfare:
http://anzeninfo.mhlw.go.jp/user/anzen/tok/anst00.htm
(May 1, 2012)
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