Now showing items 1-4 of 4
Local and Cooperative Autonomous Vehicle Perception from Synthetic Datasets
(University of Waterloo, 2019-09-23)
The purpose of this work is to increase the performance of autonomous vehicle 3D object detection using synthetic data. This work introduces the Precise Synthetic Image and LiDAR (PreSIL) dataset for autonomous vehicle ...
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 ...
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 ...