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Grokking the Coding Interview: Patterns for Coding Questions Alternative
Implementation for Robust LiDAR-Camera Calibration with 2D Gaussian Splatting
PyTorch code for [T-RO] CMRNext: Camera to LiDAR Matching in the Wild for Localization and Extrinsic Calibration
[RAL'24] Automatic Target-Less Camera-LiDAR Calibration from Motion and Deep Point Correspondences
CalibRefine: Deep Learning-Based Online Automatic Targetless LiDAR–Camera Calibration with Iterative and Attention-Driven Post-Refinement
Schedule-Free Optimization in PyTorch
DeGirum / ultralytics_yolov8
Forked from ultralytics/ultralyticsNEW - YOLOv8 🚀 in PyTorch > ONNX > OpenVINO > CoreML > TFLite
An efficient and robust multisensor-aided inertial navigation system with online calibration that is capable of fusing IMU, camera, LiDAR, GPS/GNSS, and wheel sensors. Use cases: VINS/VIO, GPS-INS,…
CoTracker is a model for tracking any point (pixel) on a video.
This repository contains a command-line interface(CLI) that can detect and blur out faces and license plates(PII) from images and videos. The CLI takes an image or video file as input, runs an anon…
[NeurIPS 2023] Dynamo-Depth: Fixing Unsupervised Depth Estimation for Dynamical Scenes
[CVPR 2025] Strengthened Pose Information for self-supervised monocular depth estimation. SPIdepth refines the pose network to improve depth prediction accuracy, achieving state-of-the-art results …
OpenCalib: A Multi-sensor Calibration Toolbox for Autonomous Driving
🌟 SHINE-Mapping: Large-Scale 3D Mapping Using Sparse Hierarchical Implicit Neural Representations (ICRA 2023)
🔥 💪 Official Project: A Robust and Effective LiDAR-SLAM System with Learning-based Denoising and Loop Closure (DLC-SLAM)
A ROS package of DCL-SLAM: Distributed Collaborative LiDAR SLAM Framework for a Robotic Swarm.
A collection of GICP-based fast point cloud registration algorithms
📍PIN-SLAM: LiDAR SLAM Using a Point-Based Implicit Neural Representation for Achieving Global Map Consistency [TRO 24]
A computationally efficient and robust LiDAR-inertial odometry (LIO) package
This repo is modified based on lvi-sam and liorf, which remove the feature extraction module and makes it easier to adapt different sensor.
[ICRA'24] Accurate Prior-centric Monocular Positioning with Offline LiDAR Fusion
LVI-SAM for easier using (更简单的使用LVI-SAM的方法)
LVI-SAM: Tightly-coupled Lidar-Visual-Inertial Odometry via Smoothing and Mapping
LIO-SAM: Tightly-coupled Lidar Inertial Odometry via Smoothing and Mapping
A Robust, Real-time, RGB-colored, LiDAR-Inertial-Visual tightly-coupled state Estimation and mapping package
[IROS2024] A SLAM method combined with NDTMC and LIO-SAM.