XiaoJake's repositories
Lidar_IMU_Localization
Lidar-IMU Localization System with Prior Map Constraint and Lio Constraint
ESKF_LIO
IESKF-LIO reference to fast_lio1.0(参考fast-lio早期版本，复现的fast-lio2)
graph_msf
!!以imu为主的图优化多传感器融合框架A graph-based multi-sensor fusion framework. It can be used to fuse various relative or absolute measurments with IMU readings in real-time.
mlcc
Fast and Accurate Extrinsic Calibration for Multiple LiDARs and Cameras
x_multi_agent
Fork of x library for collaborative decentralized visual-inertial odometry
far_planner
!!!可在已知和未知环境中完成快速探索的路径规划算法:Fast, Attemptable Route Planner for Navigation in Known and Unknown Environments
hdl_localization
Real-time 3D localization using a (velodyne) 3D LIDAR
RVT
Implementation of "Recurrent Vision Transformers for Object Detection with Event Cameras". CVPR 2023
interactive_slam
!!半自动激光SLAM框架,允许人手工纠正误差,添加回环等:Interactive Map Correction for 3D Graph SLAM
simple-lio
用Eigen重新实现了Fast-LIO的核心功能
STD
A 3D point cloud descriptor for place recognition
awesome-chatgpt-prompts
This repo includes ChatGPT prompt curation to use ChatGPT better.
rviz_satellite
Display internet satellite imagery in RViz
LIO-SEGMOT
LiDAR-Inertial Odometry via Simultaneous Ego-motion Estimation and Multiple Object Tracking (ICRA 2023)
Simple-LIO-SAM
Code for simplified LIO-SAM
FeatureBooster
FeatureBooster: Boosting Feature Descriptors with a Lightweight Neural Network (CVPR 2023)
EventNeRF
Neural Radiance Fields from a Single Colour Event Camera [CVPR 2023]
nerfshop
NeRFshop: Interactive Editing of Neural Radiance Fields
stanford_alpaca
Code and documentation to train Stanford's Alpaca models, and generate the data.
cartographer
Cartographer is a system that provides real-time simultaneous localization and mapping (SLAM) in 2D and 3D across multiple platforms and sensor configurations.
learned_inertial_model_odometry
This repo contains the code of the paper "Learned Inertial Odometry for Autonomous Drone Racing", RA-L 2023.
gbplanner_ros
!!用于地下环境的基于图的多机勘探3D路径规划器:Graph-based Exploration Planner for Subterranean Environments
learned_optimization
VeLO 可自己调整超参数适应不同的任务
ImMesh
!待开源-ImMesh: An Immediate LiDAR Localization and Meshing Framework
lt-mapper
!!!可长期建图的激光slam: A Modular Framework for LiDAR-based Lifelong Mapping
rviz_factor_graph_plugins
rviz中的因子图可视化插件 效果:https://www.youtube.com/watch?v=hEl1mMeK1AY
imu_lidar_calibration
!!基于EKF和运动的3D激光雷达/IMU无目标外参标定算法: Target-free Extrinsic Calibration of a 3D Lidar and an IMU