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Roadmap to become a Visual-SLAM developer in 2023
A tightly coupled and real time LiDAR-Inertial SLAM algorithm. Based upon LIMO-Velo and FAST_LIO projects.
A visual-inertial SLAM framework integrated deep learning features
A flexible, high-performance 3D simulator for Embodied AI research.
pix2tex: Using a ViT to convert images of equations into LaTeX code.
An Open-source Deep Learning Framework for Visual Place Recognition
A LiDAR-Inertial Odometry with Efficient Local Geometric Information Estimation
Implementation of XFeat (CVPR 2024). Do you need robust and fast local feature extraction? You are in the right place!
[Arxiv] CoFiI2P: Coarse-to-Fine Correspondences-Based Image-to-Point Cloud Registration
3D LiDAR Mapping in Dynamic Environments using a 4D Implicit Neural Representation (CVPR 2024)
Extension and update of M2DGR: a novel Multi-modal and Multi-scenario SLAM Dataset for Ground Robots (ICRA2022 & ICRA2024)
[ICRA 2024] Outram: One-shot Global Localization via Triangulated Scene Graph and Global Outlier Pruning
Calibration tools for multi-sensor, multi-modal robotic systems
[CVPR2024 Oral] Learning to Produce Semi-dense Correspondences for Visual Localization
[RA-L 2024] GRIL-Calib: Targetless Ground Robot IMU-LiDAR Extrinsic Calibration Method using Ground Plane Motion Constraints
Slam-Interface is a UI interface that can interact with the ROS system, supporting users to encapsulate common ROS system operations into simple UI interface operations.
[ICRA2024] Implementation of A Fast, Lightweight, and Dynamic Octree for Proximity Search
A curated list of resources relevant to LiDAR-Visual-Fusion-SLAM
This repository ROS package is suit for scout 2 and scout mini
iG-LIO with Loop Closure(PGO) and Online Re-Localize
FAST-LIO 2 with VoxelMapPlus and STD
Paper and Codes for “RangeDet: In Defense of Range View for LiDAR-based 3D Object Detection” (ICCV2021)
Semantic and Instance Segmentation of LiDAR point clouds for autonomous driving
A LiDAR-inertial odometry for dynamic environments.