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Welcome to the Point Clouds Fast Course

In this course, you will learn to build a 3D Object detection system. The course can be found here: https://www.thinkautonomous.ai/point-clouds

DATASET

The dataset used is the KITTI dataset. I use a subset of 20 point cloud files for this course. Link to the full dataset.

The course is currently being completed by using the dockerfile from this repository here: My Open3D Dockerfile

RESULTS

Downsampled KITTI PCD

downsampled_pcd

Segmentation of the Ground Plane

Ground_plane_segmentation_kitti_dist_0 1

Clustering of detected objects

dbscan_clustering

Bounding Boxes of the detected objects

The bounding boxes are drawn using the point cloud indices that are labelled into similar clusters from the DBSCAN Algorithm using PCA from open3d Bounding_boxes_clustered_objects

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  • Python 100.0%