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Lane Keeping System by Visual Technology

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Conference

2017 ASEE Annual Conference & Exposition

Location

Columbus, Ohio

Publication Date

June 24, 2017

Start Date

June 24, 2017

End Date

June 28, 2017

Conference Session

Division Experimentation & Lab-oriented Studies Electrical Engineering and Circuits

Tagged Division

Division Experimentation & Lab-Oriented Studies

Page Count

11

DOI

10.18260/1-2--28604

Permanent URL

https://peer.asee.org/28604

Download Count

1887

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Paper Authors

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Tony Fan Wayne State University

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Gene Yeau-Jian Liao Wayne State University

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GENE LIAO is currently Director of the Electric-drive Vehicle Engineering and Alternative Energy Technology programs and Professor at Wayne State University. He received a M.S. in mechanical engineering from Columbia University, and a doctor of engineering from University of Michigan, Ann Arbor. He has over 17 years of industrial practices in the automotive sector prior to becoming a faculty member. Dr. Liao has research and teaching interests in the areas of hybrid vehicles, energy storage, and advanced manufacturing.

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Chih-Ping Yeh Wayne State University

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Chih-Ping Yeh received his BS in Electrical and Electrnoic Engineering from TamKung University in Taiwan, MS and Ph.D. in Electrical Engineering from Texas A&M University in College Station, Texas. He is the Chair of the Division of Engineering Technology at Wayne State University in Detroit, Michigan.

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Chung-Tse Michael Wu Wayne State University

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Dr. Chung-Tse Michael Wu is currently an Assistant Professor at the Department of Electrical and Computer Engineering at Wayne State University (WSU), Michigan, USA. His research interests include applied electromagnetics, antennas, passive/active microwave and millimeter-wave components, RF systems and metamaterials. He received his B.S. degree from National Taiwan University (NTU) in 2006. He then received his M.S. and Ph.D. degree in the Department of Electrical Engineering, University of California at Los Angeles (UCLA) in 2009 and 2014, respectively. From September 2008 to June 2014, he worked as a graduate student researcher at the Microwave Electronics Laboratory in UCLA. In 2009, He was a summer intern in Bell Labs, Alcatel-Lucent, Murray Hills, NJ. In 2012, he was a special-joint researcher at Japan Aerospace Exploration Agency (JAXA) in Kanagawa, Japan.
In 2016, Dr. Wu received National Science Foundation (NSF) Faculty Early Career Development (CAREER) Award, as well as WSU College of Engineering Faculty Research Excellence Award. He was also a recipient of 2011 IEEE Asia Pacific Microwave Conference (APMC) Student Prize and a recipient of 2013 IEEE APMC Best Student Paper Award. In addition, he received the second place award in 2014 IEEE International Microwave Symposium (IMS) student design competition. He is a Member of IEEE, IEEE-MTTs, IEEE-APS and IEEE-ComSoc.

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Jimmy Ching-Ming Chen Wayne State University

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Assistant Professor 2015-present
Division of Engineering Technology
Wayne State University.
Ph.D 2006 Texas A&M University.

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Abstract

The introduction of Connected and Automated Vehicle (CAV) is fundamentally changing the concept of automotive transportation. Although many of these technologies are still in development in lab, some of these technologies are already available and demonstrated by the prototypes such as Google and Toyota self-driving cars. To prepare for the future workforce needs of autonomous vehicles in the automotive industry, we develop new, technologically progressive curricula and hands-on lab as well as student project materials. This proposed “Lane Keeping System by Visual Technology” is a research and concept-proving student project that will be studied and used to develop teaching materials for the subject of CAV. Lane Keeping System (LKS) is an advanced active safety system, which uses a front-view camera to detect lane lines and distinguish lateral deviation. It will alert drivers when there is unintentional departure from the driving lane, and then actively steer the vehicle back into the driving lane. Vehicles not connected to the infrastructure do not have real time information of their lane position on the road. A visual identification system using a camera is therefore fundamental for a vehicle to obtain the traffic information. In this student project, a webcam and a microcomputer (Raspberry Pi) are connected and mounted on a previously developed modified RC toy car where the car movements are controlled by Arduino. The obtained images in front of the car are processed by the OpenCV software. The current goal is to identify the horizon line, the roadside lines, and vertical roadside building lines from the images and then drive the car in the “middle” of the road. The test will be taken place in a long hall way and the RC toy car should be able to stay in the middle when moving along the hallway automatically. Student working processes of design, hardware modification, as well as the algorithm and coding procedures will be observed and recorded. The project activities, the testing results, and the students’ learning experiences and outcomes will be present in this paper.

Fan, T., & Liao, G. Y., & Yeh, C., & Wu, C. M., & Chen, J. C. (2017, June), Lane Keeping System by Visual Technology Paper presented at 2017 ASEE Annual Conference & Exposition, Columbus, Ohio. 10.18260/1-2--28604

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