Now showing items 1-8 of 8

    • Deep Learning-Enabled Cerebrovascular Reactivity Processing Software 

      Dasari, Yashesh (University of Waterloo, 2022-12-23)
      Magnetic Resonance Imaging (MRI) is a non-invasive medical imaging technique that is used to generate high-resolution images of the brain. Blood oxygenation level dependent (BOLD) imaging is a functional MRI technique that ...
    • Design and Fabrication of a Magnetic Manipulator with Five Degrees of Freedom 

      Kazemzadeh Heris, Pooriya (University of Waterloo, 2022-01-25)
      Magnetic manipulation has the potential to recast the medical field both from an operational and drug delivery point of view as it can provide wireless controlled navigation over surgical devices and drug containers inside ...
    • Imitation Learning and Direct Perception for Autonomous Driving 

      Liang, Rocky (University of Waterloo, 2020-09-15)
      This thesis presents two learning based approaches to solve the autonomous driving problem: end-to-end imitation learning and direct visual perception. Imitation learning uses expert demonstrations to build a policy that ...
    • Intelligent Robotic Recycling of Flat Panel Displays 

      Sanderson, Adam (University of Waterloo, 2019-05-29)
      As the population and prosperity continue to rise the demand for high-tech products is rapidly increasing. Displays are a huge part of this market with millions being created each year. We have a finite amount of resources ...
    • SIVO: Semantically Informed Visual Odometry and Mapping 

      Ganti, Pranav (University of Waterloo, 2018-11-12)
      Accurate localization is a requirement for any autonomous mobile robot. In recent years, cameras have proven to be a reliable, cheap, and effective sensor to achieve this goal. Visual simultaneous localization and mapping ...
    • Towards Domain Invariant Real-time Point Cloud Perception 

      Cui, Yaodong (University of Waterloo, 2023-05-25)
      In recent years, autonomous driving has witnessed substantial advancements, owing in part to the rapid advancement of 3D sensor technologies, particularly Light Detection and Ranging (LiDAR) sensors.Despite these advancements, ...
    • Vision-based Driver State Monitoring Using Deep Learning 

      Su, Lang (University of Waterloo, 2022-01-20)
      Road accidents cause thousands of injuries and losses of lives every year, ranking among the top lifetime odds of death causes. More than 90% of the traffic accidents are caused by human errors [1], including sight ...
    • Vision-based Self-Supervised Depth Perception and Motion Control for Mobile Robots 

      Fan, Xiule (University of Waterloo, 2022-07-18)
      The advances in robotics have enabled many different opportunities to deploy a mobile robot in various settings. However, many current mobile robots are equipped with a sensor suite with multiple types of sensors. This ...


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