EEC193AB: Senior Design Projects
Theme: Self-Driving Car
Fall 2017-Winter 2018
Faculty Supervisors
- Chen-Nee Chuah
- Dipak Ghosal
- Michael Zhang
Teaching Assistant
Project Description
Design and train a model car to
successfully navigate a mock traffic environment: follow lane lines,
follow traffic signals and traffic signs, avoid collisions and path
planning.
Purpose
In recent years, the resurgence of neural
network architectures and its application in reinforcement learning
and computer vision has allowed more complicated algorithms to
develop. Addressing the need for a better transportation system, we
want to explore an autonomous system via creating a self-driving
car. This not only allows the students to understand the intricacy
of handling data by assuring the generalization of the model, it
also furthers their knowledge of hardware optimization. Therefore,
the project requires a close collaboration between data science,
deep reinforcement learning, control system and hardware
design. Such collaboration will be the testament of what the
students have achieved while pursuing engineering disciplines.
Sub-Group Focus
- Path Following & FindingThis sub-group will mainly
focus on Lane line following and Path planning. The subjects of
Computer Vision, Simultaneous Localization and Mapping (SLAM)
and Control System are involved.
- Team members: Adam Jones, Vidush Vishwanath, Devashish Kashikar, and Sarvagya Vatsal Singh
- Pedestrian and Traffic Sign DetectionThis sub-group
will mainly focus on Pedestrian/Vehicle detection and Traffic
Sign Classification. The subjects of Deep Reinforcement
Learning, Data Science and System Optimization are involved
- Team members: Christopher G. Uy, Kalani H. Murakami, Minh Truong, and Gabriel J. Lee
Project Report/Presentations
- EEC193B Autonomous Car Senior Design Final Report (Winter 2018) [pdf]
- "Towards Self-Driving Car: Lane Line Detection and Path Planning," presented at UC Davis Undergraduate Research Conference, 2018. [pdf]
- "Towards Self-Driving Car: Pedestrian and Traffic Sign Detection," presented at UC Davis Undergraduate Research Conference, 2018. [pdf]