Computational Imaging for Improving Vehicle Safety
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2024-07-31
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Edition:Final Report (July 1, 2023-June 30, 2024)
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Abstract:This project investigates the design and deployment of sensors and associated algorithms for handling harsh imaging conditions. We are interested in depth perception in rain, snow and fog. By expanding the depth range at which objects can be reliably detected, especially in dense fog, the project will facilitate a higher level of safety for vulnerable road users.
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