Browsing Mathematics (Faculty of) by Subject "autonomous driving"
Now showing items 1-7 of 7
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3D Online Multi-Object Tracking for Autonomous Driving
(University of Waterloo, 2019-08-29)This research work focuses on exploring a novel 3D multi-object tracking architecture: 'FANTrack: 3D Multi-Object Tracking with Feature Association Network' for autonomous driving, based on tracking by detection and online ... -
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 ... -
Closing the Modelling Gap: Transfer Learning from a Low-Fidelity Simulator for Autonomous Driving
(University of Waterloo, 2020-01-24)The behaviour planning subsystem, which is responsible for high-level decision making and planning, is an important aspect of an autonomous driving system. There are advantages to using a learned behaviour planning system ... -
FJMP: Factorized Joint Multi-Agent Motion Prediction
(University of Waterloo, 2023-08-30)Multi-agent motion prediction is an important problem in an autonomous driving pipeline, and it involves forecasting the future behaviour of multiple agents in complex driving environments. Autonomous vehicles (AVs) should ... -
MLOD: A multi-view 3D object detection based on robust feature fusion method
(University of Waterloo, 2019-09-19)This thesis presents Multi-view Labelling Object Detector (MLOD). The detector takes an RGB image and a LIDAR point cloud as input and follows the two-stage object detection framework. A Region Proposal Network (RPN) ... -
Switching GAN-based Image Filters to Improve Perception for Autonomous Driving
(University of Waterloo, 2019-10-24)Autonomous driving holds the potential to increase human productivity, reduce accidents caused by human errors, allow better utilization of roads, reduce traffic accidents and congestion, free up parking space and provide ... -
Towards Object Re-identification from Point Clouds for 3D MOT
(University of Waterloo, 2023-04-21)This thesis studies the problem of object re-identification (ReID) in a 3D multi-object tracking (MOT) context, by learning to match pairs of objects from cropped (e.g., using their predicted 3D bounding boxes) point cloud ...