Small-Scale Intelligent Vehicle Platform for Future Controls Course in the Application of Advanced Driving Assistance Systems

Sarah De Rosier; Dominic Emilio Riccoboni; Paul Michael Rothhammer-Ruiz; Charles Birdsong

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Conference: 2018 ASEE Annual Conference & Exposition
Location: Salt Lake City, Utah
Publication Date: June 23, 2018
Start Date: June 23, 2018
End Date: July 27, 2018
Conference Session: Student Division Technical Session 2
Tagged Division: Student
Page Count: 10
DOI: 10.18260/1-2--30969
Permanent URL: https://peer.asee.org/30969
Download Count: 459

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Paper Authors

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Sarah De Rosier California Polytechnic State University, San Luis Obispo

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Undergraduate mechanical engineering student interested in undergraduate research in the field of intelligent vehicles.

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Dominic Emilio Riccoboni California Polytechnic State University, San Luis Obispo

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Dominic is a Mechanical Engineering senior interested in Mechatronics and Control Systems especially as the apply to Autonomous Vehicles, Space Technology, Robotics, and Biomedical Engineering.

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Paul Michael Rothhammer-Ruiz California Polytechnic State University, San Luis Obispo

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Paul Rothhammer-Ruiz is a student at Cal Poly University in San Luis Obispo, CA. He is pursuing a Bachelor's degree in Mechanical Engineering with a concentration in Mechatronics. His interests include robotics, controls, and autonomous vehicles.

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Charles Birdsong California Polytechnic State University, San Luis Obispo

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Charles Birdsong has expertise in automotive safety, vibrations, controls, signal processing, instrumentation, real-time control, active noise control, and dynamic system modeling. He received his B.S.M.E. at Cal Poly San Luis Obispo, and his M.S. and Ph.D. at Michigan State University, where he worked on active noise control applications for the automotive industry. He has worked in the vibration test and measurement industry helping to drive new technologies to market and working with industry to meet their emerging needs. He is currently a Professor at California Polytechnic State University at San Luis Obispo in the Department of Mechanical Engineering teaching dynamics, vibrations and controls. He is involved in several undergraduate and master’s level multidisciplinary projects and interested in engineering education research.

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Abstract

Note to reviewers: this is a student paper that I want to submit to the Student Division. I will list myself as the author for now and after the students register we will add them as the authors and change me to a coauthor.

This paper intends to cover the developmental process of an undergraduate course in the design of control systems for intelligent vehicles. The course will teach students about the current state of intelligent vehicle technology, dynamic vehicle modeling and system characterization, the kinds of sensors and actuators used in intelligent vehicles, signal processing and filtering, levels of vehicle awareness, the controllers used in intelligent vehicles, and Advanced Driver Assistance Systems (ADAS) algorithms. The course will consist of a lecture and a lab. In the lab, students will practice vehicle modeling and design control systems that will allow ADAS features to be implemented onto the small-scale vehicle platform. This paper will discuss the design of the small-scale vehicle platform as well as the design of the courseware for use in the lab. The vehicle platform must be designed in such a way as to support the activities of the lab. This includes selecting a variety of sensors such that the platform can support a number of ADAS technologies, providing data collection systems, and designing the basic control systems on the vehicle so the behavior of the vehicle is predictable and easy to troubleshoot. The students will design their ADAS controllers in Mathwork’s Simulink and deploy them to the vehicle. One of the motivations for using Simulink to design the controllers for the small-scale vehicle is to make this course accessible to students who do not have a background in programming. In the course lab, students will design control systems for various ADAS technologies that are currently being implemented on production vehicles. These technologies include lane-keeping assist, adaptive cruise control, and dynamic stability control. In the second half of the course, students will have the opportunity to do a project where they expand upon the ADAS capabilities of the vehicle platform. The purpose of the course will be to prepare students for careers in the future of automotive technology and driver-assistance systems. This will be one of the first courses in the country on intelligent vehicle design, and possibly the only course of its specific design.

Citation
Format

De Rosier, S., & Riccoboni, D. E., & Rothhammer-Ruiz, P. M., & Birdsong, C. (2018, June), Small-Scale Intelligent Vehicle Platform for Future Controls Course in the Application of Advanced Driving Assistance Systems Paper presented at 2018 ASEE Annual Conference & Exposition , Salt Lake City, Utah. 10.18260/1-2--30969

TY - CPAPER
AB - Note to reviewers: this is a student paper that I want to submit to the Student Division. I will list myself as the author for now and after the students register we will add them as the authors and change me to a coauthor.

This paper intends to cover the developmental process of an undergraduate course in the design of control systems for intelligent vehicles. The course will teach students about the current state of intelligent vehicle technology, dynamic vehicle modeling and system characterization, the kinds of sensors and actuators used in intelligent vehicles, signal processing and filtering, levels of vehicle awareness, the controllers used in intelligent vehicles, and Advanced Driver Assistance Systems (ADAS) algorithms. The course will consist of a lecture and a lab. In the lab, students will practice vehicle modeling and design control systems that will allow ADAS features to be implemented onto the small-scale vehicle platform. This paper will discuss the design of the small-scale vehicle platform as well as the design of the courseware for use in the lab.
The vehicle platform must be designed in such a way as to support the activities of the lab. This includes selecting a variety of sensors such that the platform can support a number of ADAS technologies, providing data collection systems, and designing the basic control systems on the vehicle so the behavior of the vehicle is predictable and easy to troubleshoot. The students will design their ADAS controllers in Mathwork’s Simulink and deploy them to the vehicle. One of the motivations for using Simulink to design the controllers for the small-scale vehicle is to make this course accessible to students who do not have a background in programming.
In the course lab, students will design control systems for various ADAS technologies that are currently being implemented on production vehicles. These technologies include lane-keeping assist, adaptive cruise control, and dynamic stability control. In the second half of the course, students will have the opportunity to do a project where they expand upon the ADAS capabilities of the vehicle platform. The purpose of the course will be to prepare students for careers in the future of automotive technology and driver-assistance systems. This will be one of the first courses in the country on intelligent vehicle design, and possibly the only course of its specific design.

AU - Sarah De Rosier
AU - Dominic Emilio Riccoboni
AU - Paul Michael Rothhammer-Ruiz
AU - Charles Birdsong
CY - Salt Lake City, Utah
DA - 2018/06/23
PB - ASEE Conferences
TI - Small-Scale Intelligent Vehicle Platform for Future Controls Course in the Application of Advanced Driving Assistance Systems
UR - https://peer.asee.org/30969
DO - 10.18260/1-2--30969
ER -