Few demos with advanced meta features such as scene understanding and shared anchors

BIM-based AI-supported LiDAR-Camera Pose Refinement

This project allows the alignment and correction of LiDAR-based SLAM session data with a reference map or another session, also the retrieval of 6-DoF poses with accuracy of up to 3 cm given an ac…

Allows the convertion of a semantically enriched point cloud into a vectorized-semantic floor plan.

Bring projects, wikis, and teams together with AI. AppFlowy is an AI collaborative workspace where you achieve more without losing control of your data. The best open source alternative to Notion.

Interface to connect Reinforcement Learning libraries to Functional Mock-up Units for control under uncertainties

Road zone Synthetic Data Generator based on Unity Perception.

Official implementation of ``LRRU: Long-short Range Recurrent Updating Networks for Depth Completion'', ICCV 2023.

Depth Completion technique agnostic to input depth pattern sparsity, WACV23

The Excel add-in for creating LaTeX tables

Direct-LiDAR-Inertial-Odometry-and-Mapping的复现版本

iG-LIO: An Incremental GICP-based Tightly-coupled LiDAR-inertial Odometry

[RA-L 2022] RGB-D Inertial Odometry for a Resource-restricted Robot in Dynamic Environments

[CoRL 21'] TANDEM: Tracking and Dense Mapping in Real-time using Deep Multi-view Stereo

Comming soon

Toolbox for quantitative trajectory evaluation of VO/VIO

scancontext++ (TRO 2022) codes

Get up and running with Llama 3.2, Mistral, Gemma 2, and other large language models.

PyTorch Implementation of Monitored Distillation for Positive Congruent Depth Completion (ECCV 2022)

Current state of supervised and unsupervised depth completion methods

Voxelization Toolkit for (IFC) Building Models

Fast, hierarchical, sparse Voxel Grid

Step-by-step tutorial to facilitate hdl localization package with docker! 🐳

Faster-LIO: Lightweight Tightly Coupled Lidar-inertial Odometry using Parallel Sparse Incremental Voxels

[IEEE ICRA'23] A new lightweight LiDAR-inertial odometry algorithm with a novel coarse-to-fine approach in constructing continuous-time trajectories for precise motion correction.

The official implementation for "Spherical Transformer for LiDAR-based 3D Recognition" (CVPR 2023).

Efficient Online Segmentation of Ground&Wall Points for Multi-line Spinning LiDARs. //在线分割激光点云中的地面点和墙面点。

Ground Segmentation from Lidar Point Clouds