In the Cognitive and Autonomous Test (CAT) Vehicle REU, students learned about the many technologies and research areas behind vehicular autonomous systems.
Students split into two groups, with one focusing on computer vision and the other on machine learning. The first group learned how to use open-source libraries to process images and videos and how to extract information from them using machine learning algorithms to extract information from them. The second group learned how to use adversarial and shadow attacks against a traffic sign recognition system and develop defense methods to improve the system.
“The program has given me a lot of hands-on experience in both theoretical and practical aspects of machine learning,” said Andrew Wang, a student at Cornell University.
Wyatt Mayor, a student at Monmouth College, said he enjoyed working with cutting-edge technology. "Machine learning is a field that is exponentially growing, and this is an opportunity to dive headfirst into it,” he said.”
The graduate student mentors, who were there to guide the students, said they found the experience impactful as well.
“The most valuable experiences I gained are how to coordinate teaching and research programs with people from different backgrounds and how to lead the undergraduate students to learn new things with a research program,” said Huayu Li, graduate student mentor.
Professor Loukas Lazos and associate professor Gregory Ditzler led the CAT Vehicle REU program. Graduate student mentors included David Schwartz, Manoj Gopale, Huayu Li and Lewis Kopolon.
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