Preparation Guideline of Invited/Special Session Proposal forthe 13thInternational Conference on Automation Technology
(Automation 2015)
Mei-Yung Chen, Session Chair
Dept. of Mechatronic Engineering, National Taiwan Normal University, Taipei 106, Taiwan.
TEL: +886-2-77343509, FAX: +886-2-23583074
E-mail:
Chen-Chia Chuang, Session Co-Chair
Dept. of Electrical Engineering, National Ilan University, Ilan 260, Taiwan.
TEL: +886-3- 9357400 ext.7386, FAX: +886-3- 9364006
E-mail:
- Session Subject
Human-Machine Interface and Its Application - Session Motivation and Goals
The human-machine interface takes an important place in the resent industry. It makes thecommunication between human and machines more convenient and brings more humanity in theaspect of controller design. The development of human-machine interfaces takes a vigorousleap these days, such as CNCs, touch pads, and robotic control, etc. The above mentionedwould need the use of a stronger human-machine interface design. Therefore, we would like toopen and special session to invite and gather the related academic papers to offer the opportunityfor all the experts in the professional field to interact.
- Paper Title and Abstracts
Paper 1:
Title:A Novel Approach of iOS Based Lane Departure Warning System
Authors: Chen-Chia Chuang, Jyun-Long Wu1, Chen-Wei Jheng, Ze-Si Huang Dept. of Electrical
Engineering, National Ilan University, Ilan, Taiwan
Abstract:Recently, the transportation tools and the invention of vehicle becoming more and more convenient for moving from a place to another destination in short time. But lots of car accidents happened while the driver is too tired to focus on driving car that offset out of lane. Advanced Driver Assistance System (ADAS) can be proposed to prevent the traffic accident. One of the tasks, the lane departure warning system (LWDS) can avoid driver fatigue, and reduce the car accident occurred. Generally, this system use Hough transforms for lane detection, but the calculation amounts of Hough transfer is large. On normal roads, the lane detection is not executed for each frame. In this paper, this system detect amount of edge in each region, when the amount of edge is large in the region, mean the lane location on the region. This method is more fast and simple than Hough transforms. It makes LDWS application more helpful in iPhone. The iPhone has a Camera and excellent ARM chip and memory. The development in the iPhone can offer many convenient frameworks such as OpenCV frameworks for developer.
Paper 2:
Title:Moving Target Tracking Based on CamShift Approach and Kalman Filter
Authors:Kuo-Hsien Hsia1, Shao-Fan Lien and Juhng-Perng Su
Dept. of Electrical Engineering, National DongHwa University, Yunlin, Taiwan
Abstract:The surveillance system has been developed for decades. It has reduced the crime and protected the lives and properties of people successfully. Some surveillance systems are composed of PTZ cameras. Therefore the moving people or target objects could be tracked by the surveillance system. The surveillance system becomes more and more interment. However, there are two problems occurred, target recognition and target shelter. In this paper, we proposed the method of tracking a moving object for improving the performance of intelligent surveillance system. The method combined CamShift and Kalman filter for tracking the moving object in a complex background or in an occlusion case. The proposed method is very efficient and that is easily implemented in a real-time system. Three major problems of surveillance system design, moving object detecting, moving object tracking and tracking the object in occlusion, have been conquered in the experimental results.
Paper 3
Title:The Design of Interactive Game Systems
Author: C.-Y. Liang
Dept. Fire Science, WuFeng University, Chiayi, Taiwan
Abstract:We combined software, sensors and microprocessor to design an interactive shooting game system. The user can play the game with our interactive controller by wireless technology. We use PSoC as the control chip to implement the hardware and use Unity to design the content of the shooting game. The experiment result shows that we can accomplish a game system in a common lab of a school.
Paper 4
Title: A Hybrid Metaheuristic Computing for Global Path Planning of Autonomous
Robots
Authors: Hsu-Chih Huang and C. W. Tao
Dept. of Electrical Engineering, National Ilan University, Yilan, Taiwan
Abstract:This paper presents a hybrid metaheuristic computing for autonomous robot navigation to find an optimal path between a starting and ending point in a structured environment with obstacles. The generated collision-free path is optimal in the sense of the shortest distance by defining the performance index. The initial feasible path generated from the path planner is then smoothed using the cubic B-spline technique, in order to construct a near-optimal collision-free continuous path. Simulations results are conducted to show the merit of the proposed global path planner and smoother for global path planning of autonomous robot navigation.
Paper 5
Title:3D Object Model Recovery from 2D Images Utilizing Corner Detection
Authors: Ying-Yuan Huang and Mei-Yung Chen
Dept. of Mechatronic Engineering, National Taiwan Normal University, Taipei, Taiwan
Abstract: This research proposes a method to reconstruct the 3D object model from 2D images. The reconstruction theorem this research used is based on the stereo vision algorithm. Stereo vision is one type of the non-contact scanning measurement. The theorem of the stereo vision were simulates the human’s eyes to calculate the object’s depth information. There for, this research uses two CCD Cameras to capture the object’s 2D images. Then find out the match points from the left and right two images. To reconstruct the object’s 3D model by using the match points, parameters of the CCD Cameras and transform matrix that between the world coordinate and camera coordinate. The object this research reconstructed belongs to simple geometry. There for, we can reconstruct the object’s 3D model by the feature points of the object. The feature points always appear on edges and vertices. In this way we can reduce the number of the points we should reconstruct, so the system can build up the object’s 3D model fast. The CCD Cameras unable to capture the whole object’s surface information in once time, so this research proposes a method that rotates the object to solve this problem. The system combines the rotation model with the reconstruction system to reconstruct the complete object’s 3D model.
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