Hands-on Experiments with Connected and Automated Vehicles (CAVs)
Let’s make your other car drive itself!
Project description
This project focuses on advancing the CAV research capability at UB. The student will help upgrade the autonomous vehicle platform at UB with state-of-the-art C-V2X connectivity capabilities. The student will also help design and deploy safe and efficient planning and control algorithms based on connectivity. The project involves a lot of coding (at the desk or in-vehicle), and testing activities.
Project outcome
The major achievement of this project would be a demonstration of connectivity-based autonomous driving on campus roads. As a result, the student will gain:
- Knowledge of the state-of-the-art planning and control algorithms of CAVs
- Programming experience in Python, C, and C++.
- Hands-on experience in control development and hardware integration on the CAV platform.
- Cool videos to showcase your work.
- Technical presentations/posters/publications at technical conferences.
- How to work in a team setting on a high-impact fast-paced project.
Project details
| Length of commitment | 3-6 months |
| Start time | Fall (towards spring) Spring (towards summer) |
| In-person, remote, or hybrid? | In-Person Project |
| Level of collaboration | Small group project (2-3 students), mentored by faculty directly |
| Benefits | Academic credit |
| Who is eligible | All students with programming experience in Python/C++, and ROS2. Any prior experience working with robots, drones, sensor hardware/software, and embedded systems (Arduino, Raspberry Pi, etc.) is a plus. Having a driver's license is a big plus as the process needs testing with vehicles. |
Project mentor
Chaozhe He
Assistant Professor
Mechanical and Engineering Department
Phone: (716) 645-1432
Email: chaozheh@buffalo.edu
Start the project
- Email the project mentor using the contact information above to express your interest and get approval to work on the project. (Here are helpful tips on how to contact a project mentor.)
- After you receive approval from the mentor to start this project, click the button to start the digital badge. (Learn more about ELN's digital badge options.)
Preparation activities
Once you begin the digital badge series, you will have access to all the necessary activities and instructions. Your mentor has indicated they would like you to also complete the specific preparation activities below. Please reference this when you get to Step 2 of the Preparation Phase.
- Review the lab's research page (https://www.acsu.buffalo.edu/~chaozheh/research.html) to familiarize yourself with the topics of interest and current activities in the lab.
- Read this paper https://www.acsu.buffalo.edu/~chaozheh/Papers/TRC_2018.pdf to get to know some of the algorithms and tools that will be used.
- "Contact Prof. Chaozhe He via email (chaozheh@buffalo.edu), get ready for a quick Python/C++ code testing, as well as a knowledge check on ROS, dynamic control, etc., during the short interview."
Keywords
Connected and Automated Vehicles, robotics, AI, programming, Mechanical and Aerospace Engineering, Computer Science and Engineering, Electrical Engineering, Python/C, ROS,