Browsing Theses by Subject "object detection"
Now showing items 1-9 of 9
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An Analysis and Benchmarking in Autoware.AI and OpenPCDet LiDAR-based 3D Object Detection Models
(University of Waterloo, 2023-01-11)Light Detection And Ranging (LiDAR) sensors are widely used in applications related to autonomous driving. The ability to scan and visualize the 3D surroundings of the vehicle as a point cloud is a particular strength of ... -
An Application of Out-of-Distribution Detection for Two-Stage Object Detection Networks
(University of Waterloo, 2020-02-14)Recently, much research has been published for detecting when a classification neural network is presented with data that does not fit into one of the class labels the network learned at train time. These so-called ... -
Deep Learning for 3D Information Extraction from Indoor and Outdoor Point Clouds
(University of Waterloo, 2021-01-07)This thesis focuses on the challenges and opportunities that come with deep learning in the extraction of 3D information from point clouds. To achieve this, 3D information such as point-based or object-based attributes ... -
Digital Twin Framework and Auto-Linking for Management of Legacy Assets
(University of Waterloo, 2021-04-30)The integration of Digital Twins (DTs) for facility and asset management is becoming increasingly common with the advancement of sensor and modelling technology. A digital twin is defined as a responsive and virtual ... -
LiDAR-MIMO: Efficient Uncertainty Estimation for LiDAR-based 3D Object Detection
(University of Waterloo, 2022-02-09)The estimation of uncertainty in robotic vision, such as 3D object detection, is an essential component in developing safe autonomous systems aware of their own performance. However, the deployment of current uncertainty ... -
Modern Object and Visual Relationship Detection in Images from a Critical, Cognitive and Data Perspective
(University of Waterloo, 2023-04-27)Deep learning has dominated the landscape of computer vision for the past decade. Deep learning networks are the top performers on a slew of computer vision challenges (e.g., object detection or image segmentation) and on ... -
On the Design of 2D Human Pose Estimation Networks using Accelerated Neuroevolution and Novel Keypoint Representations
(University of Waterloo, 2022-05-02)Motion capture is a very useful technology that is employed across many industries. Biomechanical analysis, film production, video game development, and virtual reality are among its diverse applications. However, traditional ... -
Upsampling Indoor LiDAR Point Clouds for Object Detection
(University of Waterloo, 2023-05-24)As an emerging technology, LiDAR point cloud has been applied in a wide range of fields. With the ability to recognize and localize the objects in a scene, point cloud object detection has numerous applications. However, ... -
XC: Exploring Quantitative Use Cases for Explanations in 3D Object Detection
(University of Waterloo, 2022-01-18)Explainable AI (XAI) methods are frequently applied to obtain qualitative insights about deep models' predictions. However, such insights need to be interpreted by a human observer to be useful. In this thesis, we aim to ...