The research project based on Semantic KITTTI dataset, 3d Point Cloud Segmentation , Obstacle Detection
-
Updated
Jul 6, 2023 - Jupyter Notebook
The research project based on Semantic KITTTI dataset, 3d Point Cloud Segmentation , Obstacle Detection
Point Cloud Visualization using Python
A QT-based visualization software which can be used to display 3D point clouds from .out and .ply files, which are the outputs of bundler_sfm.
Final project titled "Point Cloud Segmentation and Object Tracking using RGB-D Data" for the Machine Vision (EE 576) course.
In this project we detect, segment and track the obstacles of an ego car and its custom implementation of KDTree, obstacle detection, segmentation, clustering and tracking algorithm in C++ and compare it to the inbuilt algorithm functions of PCL library on a LiDAR's point cloud data.
TDAzureMerger: a Point-Cloud Merger for Azure Kinects.
A research-purposed, GUI-powered, Python-based framework that allows easy development of dynamic point-cloud (and accompanying image) data processing pipelines.
roshell - An interactive shell for robotics applications
Tutorial to demonstrate Point Cloud visualization
Sensor Fusion Nanodegree | Lidar Obstacle Detection in Autonomous Vehicles
Add a description, image, and links to the point-cloud-visualization topic page so that developers can more easily learn about it.
To associate your repository with the point-cloud-visualization topic, visit your repo's landing page and select "manage topics."