Self-driving cars using multi-spectral cameras
University of Rochester
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Posted 18 days ago
40 hours/week
In-Person, Remote
Class of 2026, 2025, 2024, 2023
Decision by 05/01/2023
Engineering/ Math/ Computer Science
Computer Science, Data Science, Electrical and Computer Engineering
The project investigates the use of multi-spectral cameras for computer vision tasks in self-driving cars. We will understand how to best design such cameras and deep learning algorithms that use these cameras in the context of self-driving cars. It'll be full-time (40 hours/week) position during the summer break. You will be compensated if you are a US citizen ($8K in total). If you are not a US citizen, we unfortunately don't have direct funding sources, but will support your application for other funding sources, such as the Discover Grant.
Desired Experience
Must have prior experience of using Matlab and prior experience in deep learning (e.g., using TensorFlow/Pytorch to train deep neural networks). No need to know multi-spectral cameras --- we will teach you!
About the Mentor
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Yuhao Zhu

Professor
Computer Science yzhu@rochester.edu
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