WA7 Autonomous Vehicle Systems Ⅰ
Time : 09:10~10:40
Room : Birch
Chair : Prof.Jinwhan Kim (KAIST, Korea)
09:10~09:25        WA7-1
Development of an Autonomous Hand Tractor Platform for Philippine Agricultural Operations

Anthony James Bautista(University of Sto. Tomas, Philippines)

The growing population, low level of mechanization, and climate change puts major constraints onto food production in Philippines’ agriculture. The objective of the research is to develop a platform for autonomous navigation by modifying a walking tractor. Arduino Mega 2560 was used as the main microcontroller and readily available GPS and compass module were used as navigation sensors. The results from this study can be used as a basis in developing simple autonomous robots which does not require high navigation accuracy such as delivering and carrying loads around the farm.
09:25~09:40        WA7-2
Localization for Automatic Parking System using Interacting Multiple Model Kalman Filter with Rear-View Camera

Sang Hyuk Lee(LG Electronics, Korea), Chung Choo Chung, Seung-Hi Lee(Hanyang University, Korea)

This paper presents a new vehicle localization method that improves rear-view camera usage during automatic parking. Measuring the position of a parking stall with cameras is significantly affected by vehicle’s pitch motion during parking. The pitch motion is influenced by the number of passengers and its jerk while moving backward, and leads to inaccurate distance measurement during parking. To cope with the problem, a new vehicle localization using an interacting multiple model (IMM) Kalman filter is proposed. The IMM filter is to improve the accuracy of the camera measurement influenced by
09:40~09:55        WA7-3
Obstacle Avoidance Path Planning Algorithm Based on Model Predictive Control

Ji Chang Kim, Dong Sung Pae, Myo Taeg Lim(Korea University, Korea)

For autonomous driving, it is essential to generate a safe obstacle avoidance path considering the surrounding environments. In this paper, an algorithm based on real-time output constraints model predictive control (RCMPC) is devised for obstacle avoidance path planning in the high-speed driving situations. The MPC computation times were compared to verify robustness of the algorithm in the high-speed driving situations. The ISO 2631-1 comfort level standard was used to quantify driver’s comfort and to compare with the results. The results of the RCMPC resulted in faster computation times.
09:55~10:10        WA7-4
Current and Future Research Focus on Inspection of Vertical Structures in Oil and Gas Industry

Vidya Sudevan(THE PETROLEUM INSTITUTE, A PART OF KHALIFA UNIVERSITY, United Arab Emirates)

Regular inspection of oil and gas installations are vital for production, maintenance, safety and environmental impact assessment. Due to complex set-up and hazardous operation environment, the inspection, maintenance and repair (IMR) operations as considered as an inevitable task in oil and gas industries. Integrating technologies from the field of robotics, sensing and process control will be a decisive step in digitalization of oil and gas industry. The traditional vertical structures inspection system uses rope access, scaffolds, telescopic elevation platforms supported by cranes and manne
10:10~10:25        WA7-5
Development of the automatic line maker robot by the laser telemeter

Shotaro Ohno(National Institute of Technology, Kitakyushu College, Japan)

The line takes an important role in the official game of sports. In addition, high skill is necessary for processing a line having a long distance. Therefore, I develop a robot that pulls a line that is constant and of a high quality. In this paper I developed a robot that can make a straight line and a circle. By recognizing a landmark it can revise the way it’s going. I attached one steering motor and two throttle motors, three motors in total to a line marker that is on sale on the market and by setting various sensors such as an encoder, LiDAR sensor. I was able to make it work as follows.

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