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Tim Hudson - Honours Thesis 2020

A library for transformation with uncertainty. It provides functions such as ego-motion prediction/correction and Gaussian/pointcloud transformation with or without uncertainty.

This project contains a ROS node that can take a pointcloud and project it into an image. The output is a pointcloud with RGB information, or a pointcloud with UV pixel coordinates

This project contains a ROS node that can take a pointcloud and project it into an image. The output is a pointcloud with RGB information, or a pointcloud with UV pixel coordinates

This project contains a ROS node that can take a pointcloud and project it into an image. The output is a pointcloud with RGB information, or a pointcloud with UV pixel coordinates

This project contains a ROS node that can take a pointcloud and project it into an image. The output is a pointcloud with RGB information, or a pointcloud with UV pixel coordinates

A filter used to remove lidar points belong to antennae and vehicle roof.

This project is to perform motion correction on the raw lidar data. This is because the lidar scan takes 100ms to be completed, and during this time the vehicle may have moved. We apply a correction based on the odometry information from the vehicle

This project is to perform motion correction on the raw lidar data. This is because the lidar scan takes 100ms to be completed, and during this time the vehicle may have moved. We apply a correction based on the odometry information from the vehicle

Stitch multiple camera images and generate a 180 FOV image

Stitch multiple camera images and generate a 180 FOV image

Stitch multiple camera images and generate a 180 FOV image