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.
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Updated
Jan 30, 2019 - C++
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.
roshell - An interactive shell for robotics applications
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.
Sensor Fusion Nanodegree | Lidar Obstacle Detection in Autonomous Vehicles
TDAzureMerger: a Point-Cloud Merger for Azure Kinects.
Tutorial to demonstrate Point Cloud visualization
Point Cloud Visualization using Python
The research project based on Semantic KITTTI dataset, 3d Point Cloud Segmentation , Obstacle Detection
Final project titled "Point Cloud Segmentation and Object Tracking using RGB-D Data" for the Machine Vision (EE 576) course.
A research-purposed, GUI-powered, Python-based framework that allows easy development of dynamic point-cloud (and accompanying image) data processing pipelines.
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