CS 690-003

Connected and Automated Vehicles

Meets

Friday 10:00 am - 12:40 pm Arlington: Van Metre Hall 113

Professor

Zoran Duric.

About the Class

This course addresses the research and engineering challenges encountered in designing, implementing, and deploying connected automated vehicles. They include sensing, recognition, planning, control and communication aspects for vehicles and roadside infrastructure. The connected automated vehicles are expected to improve the safety and comfort of all traffic participants including the vehicle occupants, bicyclists and pedestrians while minimizing the environmental impact of traffic. In addition, providing the right of way for emergency vehicles and traffic arrangements around special events and parking in congested cities need to be addressed in a comprehensive framework for connected automated vehicles. The course will be taught by Dr. Zoran Duric and occasionally by guest lecturers. A part of the course will include reading and presenting recent research paper by the students. A significant part of the course will include experimenting in the lab and the field. The lab is equipped with driving simulators, traffic signaling equipment and multiple sensors including video and thermal cameras, radars, lidars a nd high-precision GPS. The available equipment includes three cars that can be mounted with sensor packages.

Prerequisites

CS580 or CS584.

Reading Materials and in Class Presentations

A part of the grade (20%) will be based on reading and presenting research papers on connected and automated vehicles.

Software

We will use Python and Matlab for homework assignments and projects. We will also use Sumo and Carla traffic simulation software.

Main Topics of the Course

Course Web Page

We will communicate through Canvas. Slides, handouts, and assignments will be posted on the Canvas course page. We will answer questions on the Canvas discussion board.

Grading

Grading will be based on a combination of the following factors:

Honor Code

The class enforces the GMU Academic Standards Code, and the more specific honor code policy special to the Department of Computer Science. You will be expected to adhere to this code and policy.

Disabilities

If you have a documented learning disability or other condition which may affect academic performance, make sure this documentation is on file with the Office of Disability Services and come talk to me about accommodations.

Course Outcomes