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Development of Safety Sensor for Vehicle-Type Forest Machine in Forest Road

초록

영어

A sensor system has been developed that uses an ultrasonic sensor to detect the downhill slope on the side of a forest road and prevents a vehicle-type forest machine from rolling down a mountainside. A specular reflection of ultrasonic wave might cause severe issues in measuring distances to targets. By investigating the installation angle of the sensor to minimize the negative effects of specular reflection, the installation angle of lateral monitoring ultrasonic sensor could be determined based on the width of road shoulder. Obstacles such as small rocks or piece of log in a forest road may cause the forest machine to be overturned while the machine riding over due to excessive its posture change. It was determined that the laser sensor could be a part of a sensor system capable of specifying the location and size of small obstacles. Not only this sensor system including ultrasonic and laser sensors can issue a warning of dangerous sections to drivers in forest forwarders currently in use, but also it can be used as a driving safety sensor in autonomous forest machine or remote-control forest machine in the future.

목차

Abstract
Introduction
Materials and Methods
Principles of detecting the starting point of downhill slope (dangerous region)
Construction of a driving safety sensor system
Experimental bogie for DAQ system
Experimental methods
Results and Discussion
Distance measurement performance on sensor installation angle and surface roughness
Detecting performance of downhill slope
Location and size detection performance of small obstacle
Conclusion
Acknowledgements
References

저자정보

  • Ki-Duck Kim Department of Biosystems Engineering, Kangwon National University, Chuncheon 24341, Republic of Korea
  • Hyun-Seung Lee Forest Technology and Management Research Center, National Institute of Forest Science, Pocheon 11186, Republic of Ko
  • Gyun-Hyung Kim Forest Technology and Management Research Center, National Institute of Forest Science, Pocheon 11186, Republic of Ko
  • Boem-Soo Shin Department of Biosystems Engineering, Kangwon National University, Interdisciplinary Program in Smart Agriculture, Kangwon National University Graduate School, Chuncheon 24341, Republic of Korea

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