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EECS 395, 495: Connected and Autonomous Vehicles: Challenges and Design

Quarter Offered

Winter : 12:30-1:50 TuTh ; Zhu

Description

The development of ADAS (advanced driver-assistant systems) and autonomous driving functions, as well as various short- and long-range connectivity technologies, has propelled the rapid advancement of modern vehicles. However, it has also presented significant challenges to vehicle design, particularly in addressing high-volume and dynamic sensing inputs, enabling complex computation and communication architectures, and ensuring system safety, security, performance, reliability, and extensibility. Moreover, this trend not only affects the design of individual vehicles but also the operation of entire vehicular transportation system, in connected vehicle applications such as intelligent traffic signals, collaborative adaptive cruise control (CACC), and vehicle platooning.

This course will introduce the major trends and challenges in the design of connected and autonomous vehicles, present promising solutions, and discuss future directions. The course will cover both core technical subjects and various case studies.

COURSE INSTRUCTOR & COORDINATOR: Prof. Qi Zhu

GRADES: Homework 40%, class participation 10%, course project 50%.

PROJECT: For course project, students will select from a list of research topics on connected and autonomous vehicles (or propose their own), conduct literature survey, propose solutions, and carry out preliminary analysis. Students are encouraged to team up (max team size is two). Each team should submit a report in ACM/IEEE double-column format (no less than 6 pages, excluding references).