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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

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

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

Extract images from h264 files. Save a new rosbag with images in it.

Tim Hudson - Honours Thesis 2020

Publish images from all available cameras to RVIZ, only for visualization purpose.