This is a C++ Uni Bonn course project for SoSe 25, which demonstrates the creation of a 3D occupancy grid map from a series of LiDAR scans taken from the 3D LiDAR sensor - Hesai XT-32, mounted on a ClearPath Husky robotic platform. It leverages modern C++17 features, the Eigen library for linear algebra ops and the Open3D library for visualisation

A real-world hiking* map** using unreal engine. (*no hiking, **barely a map)

Bachelor's thesis project with the aim of creating a tool that can offer the possibility of evaluate the accuracy of classifications identified in high-density point clouds

An example on how to implement mouse interaction on the Open3D visualizer, and how to use it to pick voxels.

Projects developed during gaining the self-driving car nano-degree from Udacity

Visualization of local reference frames computed with FLARE

Open3d color texture classification

3-Dimensional registration utilities for Sonia Rao's THINC Lab @ UGA research project

See `releases` for binary wheels for ubuntu 16.04

基于C++ 版QT和Open3D开发的充电口识别上位机程序

此项目基于 Open3D 和 Azure Kinect DK 实现了三维重建。基于 IMU 传感器实现粗配准，基于彩色 ICP 算法实现精配准。

Implementation of ICP, Point-to-Plane ICP, and G-ICP algorithms.

Fork of Open3D for iOS apps

Error State Kalman Filter based Loosely-Coupled Lidar-IMU Odometry

Find pre-installed Open3D package in CMake

Implementation of ICCV 2017: Colored Point Cloud Registration Revisited

T-LOAM: Truncated Least Squares Lidar-only Odometry and Mapping in Real-Time

[RAL' 25 & IROS‘ 25] MapEval: Towards Unified, Robust and Efficient SLAM Map Evaluation Framework.

Pointcloud-based graph SLAM written in C++ using open3D library.

Efficient and parallel algorithms for point cloud registration [C++, Python]