Browsing Mechanical and Mechatronics Engineering by Subject "Deep Learning"
Now showing items 1-4 of 4
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3D Ground Truth Generation Using Pre-Trained Deep Neural Networks
(University of Waterloo, 2019-05-24)Training 3D object detectors on publicly available data has been limited to small datasets due to the large amount of effort required to generate annotations. The difficulty of labeling in 3D using 2.5D sensors, such as ... -
Experimental Evaluation of Affordance Detection Applied to 6-DoF Pose Estimation for Intelligent Robotic Grasping of Household Objects
(University of Waterloo, 2021-11-22)Recent computer vision research has demonstrated that deep convolutional neural networks can be trained on real images to add context to object parts for simultaneous object detection and affordance segmentation. However, ... -
Generative Thermal Design Through Boundary Representation and Deep Reinforcement Learning
(University of Waterloo, 2022-09-08)Advancement in Additive Manufacturing (AM) allows fabrication of complex geometries. This provides the opportunity to think beyond hand-designed topologies. The main goal of this dissertation is to build a Generative Design ... -
Real-time 3D Object Detection for Autonomous Driving
(University of Waterloo, 2018-05-10)This thesis focuses on advancing the state-of-the-art 3D object detection and localization in autonomous driving. An autonomous vehicle requires operating within a very unpredictable and dynamic environment. Hence a robust ...