Sensor Fusion Lidar Obstacle Detection
-
Updated
Dec 12, 2023 - C++
Sensor Fusion Lidar Obstacle Detection
Assignments done as part of UG Lab course
Example of Pareto Front Calculation Using KD-Tree With C++
Small tools of common algorithms
Generic VPTree
KNN problem in Celestial Coordinates System & Angular Distance Metrics
2D k-d tree implementation for counting points in a region
Parallel implementation of a two dimensional tree data structure
Here you can find some commonly used algorithms in 3D image processing (3D Bildverarbeitung).
KdTree implemented in Point Cloud
update based on http://libkdtree.alioth.debian.org/
Point-based Individual Tree Delineation from 3D LiDAR Point Cloud Data.
LiDAR processing ROS2. Segmentation: "Fast Ground Segmentation for 3D LiDAR Point Cloud Based on Jump-Convolution-Process". Clustering: "Curved-Voxel Clustering for Accurate Segmentation of 3D LiDAR Point Clouds with Real-Time Performance".
An optimized, single-header kD-Tree library for points written in C++11.
Header-only C++ K-d tree library
Add a description, image, and links to the kdtree topic page so that developers can more easily learn about it.
To associate your repository with the kdtree topic, visit your repo's landing page and select "manage topics."