Enabling Mixed-Reality Vehicle Simulator
Racing Indoor with full motion
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This project has reached full capacity for the current term. Please check back next semester for updates.
Project description
This project aimed to build a mixed-reality testing and validation platform for connected automated vehicles. Leveraging the mixed reality simulators at the UB TRAVL lab and access to Mcity testing facilities (https://mcity.umich.edu/first-round-winners-named-in-nsf-supported-competition-to-win-free-use-of-mcity-remote-testing-capabilities/) at the University of Michigan, this project will enable mixed reality both in the cloud and on the real test track at Mcity.
Project outcome
The major achievement of this project would be a demonstration of a human-in-the-loop mixed-reality vehicle simulator.
As a result, the student will gain:
1. Practical programming skills in Python. Experiences in building and tuning the widely used open-source CAV simulation platform CARLA. Experiences in developing cloud applications with AWS.
2. Knowledge of the state-of-the-art planning and control algorithms of CAVs. Practical knowledge of vehicle dynamics modeling and tuning.
3. Cool videos on demonstrations to showcase your work.
4. Technical presentations/posters/publications at technical conferences. Summer trip to Mcity testing facilities
5. How to work in a team setting on a high-impact, fast-paced project
Project details
| Length of commitment | About 3-5 months |
| Start time | Spring (January/February) |
| In-person, remote, or hybrid? | In-Person Project |
| Level of collaboration | Small group project (2-3 students) |
| Benefits | Hourly Pay / Academic credit |
| Who is eligible | All undergraduate students with programming experience in Python or MATLAB are encouraged to apply. Any prior experience working with vehicle dynamics, game engines such as Unreal, simulators such as CARLA would be a huge plus |
Core partners
- Dr. Chaozhe He
- They are expected to work with the team at TRAVL lab (https://www.travllab.com/home), and work closely with Dr. Kevin Hulme.
Project mentor
Chaozhe He
Assistant Professor
Mechanical and Engineering Department
Phone: (716) 645-1432
Email: chaozheh@
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 CARLA documentation page to get familiar with the simulator (https://carla.readthedocs.io/en/stable/).
- You are strongly recommended to attempt to install a packaged version on yourself and play with it. A good instruction may be found here (https://medium.com/@pasupuletikarthiksai/a-step-by-step-guide-to-installing-carla-on-windows-c092a469e6f6)
- Contact Prof. Chaozhe He via email (chaozheh@buffalo.edu), with your resume and transcript. Get ready for a quick Python/MATLAB code assessment
Keywords
connected automated vehicle, high-fidelity simulation, vehicle simulator