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Please use this identifier to cite or link to this item: https://scholarbank.nus.edu.sg/handle/10635/192607
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dc.titleREAL-TIME OBJECT DETECTION FOR AUTONOMOUS DRIVING
dc.contributor.authorCHEN LIUSHIFENG
dc.date.accessioned2021-06-30T18:00:26Z
dc.date.available2021-06-30T18:00:26Z
dc.date.issued2021-01-22
dc.identifier.citationCHEN LIUSHIFENG (2021-01-22). REAL-TIME OBJECT DETECTION FOR AUTONOMOUS DRIVING. ScholarBank@NUS Repository.
dc.identifier.urihttps://scholarbank.nus.edu.sg/handle/10635/192607
dc.description.abstractA deep dive into deep learning object detection and optimizing the algorithms for autonomous driving application using channel pruning.
dc.language.isoen
dc.subjectdeep learning, computer vision, object detection, autonomous driving, pruning
dc.typeThesis
dc.contributor.departmentMECHANICAL ENGINEERING
dc.contributor.supervisorMarcelo H Ang
dc.description.degreeMaster's
dc.description.degreeconferredMASTER OF ENGINEERING (FOE)
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