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Faster-LIO: Lightweight Tightly Coupled Lidar-inertial Odometry using Parallel Sparse Incremental Voxels
A probabilistic voxelmap-based LiDAR-Inertial Odometry.
[RA-L 2022] An efficient and probabilistic adaptive voxel mapping method for LiDAR odometry
A computationally efficient and robust LiDAR-inertial odometry (LIO) package
A visual-inertial SLAM framework integrated deep learning features
[CVPR2022] Geometric Transformer for Fast and Robust Point Cloud Registration
[TensorFlow] Official implementation of CVPR'20 oral paper - D3Feat: Joint Learning of Dense Detection and Description of 3D Local Features https://arxiv.org/abs/2003.03164
Implementation of XFeat (CVPR 2024). Do you need robust and fast local feature extraction? You are in the right place!
PointNetVLAD: Deep Point Cloud Based Retrieval for Large-Scale Place Recognition, CVPR 2018
A collection of GICP-based fast point cloud registration algorithms
[CVPR'22] NICE-SLAM: Neural Implicit Scalable Encoding for SLAM
You can densely map datasets through RVIZ and create your own TUM dataset to create maps
ICRA 2021 - Robust Place Recognition using an Imaging Lidar
An implementation of the Particle Filter using C++ for the purposes of localization.
A simple system that can relocalize a robot on a built map is developed in this system. The system is based on LIO-SAM.
Python package for the evaluation of odometry and SLAM
Python sample codes for robotics algorithms.
SuperGlue: Learning Feature Matching with Graph Neural Networks (CVPR 2020, Oral)
为GPT/GLM等LLM大语言模型提供实用化交互接口，特别优化论文阅读/润色/写作体验，模块化设计，支持自定义快捷按钮&函数插件，支持Python和C++等项目剖析&自译解功能，PDF/LaTex论文翻译&总结功能，支持并行问询多种LLM模型，支持chatglm3等本地模型。接入通义千问, deepseekcoder, 讯飞星火, 文心一言, llama2, rwkv, claude2, m…