Graphics Warping/Blending for High-fidelity Driving Simulation
Seeking an Engineering student to design a new computational framework to warp and blend driving simulator screen graphics.
Project description
We require the services of an ambitious engineering student to design a new computational framework to warp and blend our driving simulator screen graphics. Student will use Nvidia's NVAPI to accomplish warping and blending calculations directly on the graphics card, using C/C++.
Project outcome
The specific outcomes of this project will be identified by the faculty mentor at the beginning of your collaboration.
Project details
| Length of commitment | Ideally, this would represent a multi-year commitment. | |
| Start time | Anytime | |
| In-person, remote, or hybrid? | In-person | |
| Level of collaboration | A collaborative project with SEAS faculty, staff, and other students. | |
| Benefits | Voluntary Experience | |
| Who is eligible | Engineering student with a background in Computer Graphics, C++, and/or Computer Engineering |
Goldwater and the National Science Foundation
Students participating in this project might be interested in and eligible for the Goldwater Scholarship and the National Science Foundation Graduate Research Fellowship. Connect with the Office of Fellowships and Scholarships to learn more.
Project mentor
Kevin F. Hulme
Senior Research Associate
School of Engineering and Applied Sciences
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
The specific preparation activities for this project will be customized through discussions between you and your project mentor. Please be sure to ask them for the instructions to complete the required preparation activities.
Keywords
Engineering and Applied Sciences