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.
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.
Final project titled "Point Cloud Segmentation and Object Tracking using RGB-D Data" for the Machine Vision (EE 576) course.
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
A research-purposed, GUI-powered, Python-based framework that allows easy development of dynamic point-cloud (and accompanying image) data processing pipelines.
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."