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munjongmin
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This is the Repository for the project with the theme "Sensor Fusion through Feature Embedding in Convolutional Neural Networks".
Path Planning package for the Autonomous System of Zurich UAS Racing.
SuMa++: Efficient LiDAR-based Semantic SLAM (Chen et al IROS 2019)
Real-time 3D localization using a (velodyne) 3D LIDAR
Interactive Map Correction for 3D Graph SLAM
LIO-SAM: Tightly-coupled Lidar Inertial Odometry via Smoothing and Mapping
[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.
Track Advancement of SLAM 跟踪SLAM前沿动态【2021 version】業務調整，暫停更新
📍PIN-SLAM: LiDAR SLAM Using a Point-Based Implicit Neural Representation for Achieving Global Map Consistency [TRO' 24]
[ICCV2023] NeRF-LOAM: Neural Implicit Representation for Large-Scale Incremental LiDAR Odometry and Mapping
SLAM in a Formula Student environment
ROS package used for loop closure detection in VSLAM applications using deep learning proposals.
A comprehensive list of Implicit Representations, NeRF and 3D Gaussian Splatting papers relating to SLAM/Robotics domain, including papers, videos, codes, and related websites
A ROS wrapper for libviso2, a library for visual odometry
机器人视觉 移动机器人 VS-SLAM ORB-SLAM2 深度学习目标检测 yolov3 行为检测 opencv PCL 机器学习 无人驾驶
Visual SLAM/odometry package based on NVIDIA-accelerated cuVSLAM
YOLOv5 + ROS2 object detection package (Does not circumvent the AGPL)
[ROS package] Lightweight and Accurate Point Cloud Clustering
A complete ROS interface for running YOLOv5 inference
Fusing GPS, IMU and Encoder sensors for accurate state estimation.
(ROS) Sensor fusion algorithm for camera+lidar.
This repository contains all exercises of the course: Sensor Fusion for Localization. The goal of this course is to build a localization system with IMU, Lidar, Camera, and Odometry.