Basics of Point-Cloud Processing | Making Vehicles and Robots See

Описание: Learn the basics of point-cloud processing, including preprocessing and segmentation. Start with exploring what a point cloud is and the general workflow for estimating the location of objects in three-dimensional space using point clouds.

First, discover how to preprocess a point cloud using techniques such as denoising, downsampling, and finding points in a region of interest. Next, see how to remove the ground plane and segment points of objects into clusters. Finally, learn how to estimate the locations of objects based on the features of clustered points. At the end, please follow an exercise on using a similar workflow to estimate the locations of poles in a point cloud captured by an aerial vehicle.

Download the files used in this video: https://bit.ly/3MO4dTq

For more videos in the Making Vehicles and Robots See series click here:    • Making Vehicles and Robots See  

Learn more:
Choosing cluster analysis methods: https://bit.ly/3z3pynv
Implementing point-cloud SLAM in MATLAB: https://bit.ly/3uNm9GX
Get started with point clouds using deep learning: https://bit.ly/3O0nUra

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