Development of Advanced Deep Learning Algorithms for Computer Vision and CAV Applications

Deep learning is nowadays one of the most popular areas in computer science which has shown extraordinary performance and enjoyed wide use in a variety of fields. This research project is aiming at exploring the application of deep learning algorithms in two fields: autonomous driving with 5G networks, and facility maintenance with CT scanning. In the first field, a number of driving scenarios will be simulated and evaluated to understand the performance of deep learning-based algorithms, leveraging 5G to take advantage of quick data transfer and calculations. The goal of the second part is to design and evaluate different deep learning algorithms to develop a software for defects detection in industrial facilities. Research findings and conclusions drawn in this project will aid future research and upgrades in deep learning applications.

Intern: 
Tao Wu
Faculty Supervisor: 
Bo Wang
Province: 
Ontario
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