My Sensor Fusion Kalman Filter Final Project Submission

TreeScan3D is an innovative project that leverages the power of 3D computer vision and multi-threaded processing for efficient tree detection. Built using C++ and integrated with the Robot Operating System (ROS), this tool excels at accurately identifying trees in complex environments.

Point Cloud Library Tutorial with ROS

Exploring, learning Edge Detection methods, in Computer Vision, for image processing of building scenes. (PCL 1.11.1 , CMake 3.20.3 , GNU Make 4.3 , Ubuntu 21.04)

MoniGarr’s 5 Week Summer Research Project for the Clarkson University Summer 2023 Research and Project Showcase (RAPS) , Honors Program. Winner of Best Undergraduate Poster Presentation in Computer Science.

Final project titled "Point Cloud Segmentation and Object Tracking using RGB-D Data" for the Machine Vision (EE 576) course.

Configurable point cloud registration pipeline.

Sensor Fusion Nanodegree | Lidar Obstacle Detection in Autonomous Vehicles

Tutorial for using Point Cloud Library (PCL) with ROS 2

FLS point cloud registration library.

A tool to subdivide point clouds into a set of smaller sub point clouds with user defined dimensions.

C++ Repo using Point Cloud Library for Lidar, Radar and Camera sensors

Point Cloud 3D Visual Perception Simulation that runs on real LiDAR data

LiDAR obstacle detection using Voxel Grids, RANSAC, Euclidean Clustering with Kd-Tree in C++ using PCL.

Multi Object Tracking Sensor Fusion 3D Interactive Simulation/Game in PCL

GLIDAR: a simple OpenGL LIDAR simulator

Official GitHub repo for VecKM. A very efficient and descriptive local geometry encoder / point tokenizer / patch embedder. ICML2024.

Object detector based on Point Cloud Library and Kinnect Camera

Plane Segmentation and Obstacle Clustering in LiDAR generated point clouds