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李建忠老师的C++设计模式讲义与源码，个人对设计模式的再次探究，笔记参考https://www.yuque.com/barret/snelnn
RGB-D Encoder SLAM for a Differential-Drive Robot in Dynamic Environments
ENet: A Deep Neural Network Architecture for Real-Time Semantic Segmentation
A simple, fully convolutional model for real-time instance segmentation.
本书为《C++17 the complete guide》的个人中文翻译，仅供学习和交流使用，侵删
A tutorial about octomap. Please check my blog for detail: cnblogs.com/gaoxiang12
ORB_SLAM2 with GPU Enhancement running on NVIDIA Jetson TX1. Focus on ROS part.
GPU-accelerated ORB SLAM 2 for RGB-D vision. Works on Jetson Tx2 in real time.
Figures of full evaluation results for TRO submission "Good Feature Matching: Towards Accurate, Robust VO/VSLAM with Low Latency"
Fast Odometry and Scene Flow from RGB-D Cameras based on Geometric Clustering
Learn ORBSLAM2 and divide the source code into many parts according to their function which can be easily built by the learner from my blog.
This repository contains the source code of BEBLID: Boosted Efficient Binary Local Image Descriptor
iMorpheus.ai hosts weekly technical journal discussion event through webex. Here is all the papers and slides discussed.
🚕 Fast and robust clustering of point clouds generated with a Velodyne sensor.
Object (e.g Pedestrian, vehicles) tracking by Extended Kalman Filter (EKF), with fused data from both lidar and radar sensors.
A really fast C++ library for Delaunay triangulation of 2D points
[IROS 2020] EAO-SLAM: Monocular Semi-Dense Object SLAM Based on Ensemble Data Association
[3DV 2021] DSP-SLAM: Object Oriented SLAM with Deep Shape Priors
OpenPose: Real-time multi-person keypoint detection library for body, face, hands, and foot estimation
DS-SLAM: Real-Time Dynamic SLAM Using Semantic Segmentation Methods
the source code of the paper "Accurate Dynamic SLAM using CRF-basedLong-term Consistency"
This repository includes an RGB-D VO system that combines both point and line features and leverages, if exist, structural regularities and the Manhattan axes of the scene.
A Modular Framework for LiDAR-based Lifelong Mapping
VDO-SLAM: A Visual Dynamic Object-aware SLAM System
DynaSLAM is a SLAM system robust in dynamic environments for monocular, stereo and RGB-D setups