Dangko's repositories
Yuntai_ROS_Control
ros与stm32的串口通讯，用于控制2轴云台，仅限于本项目使用
image_estimate
该项目用于图像质量评估，评估指标包括梯度、图像熵和噪声
FAST_LIO_MULTI
Multi-LiDAR version of FAST-LIO2: A computationally efficient and robust LiDAR-inertial odometry (LIO) package
image2OccupancyGrid
适用于将灰度图像转换为OccupancyGrid
webots_differential_car
差速轮小车的仿真，使用手柄遥控，并用gmapping包建图
yuntai_103
适用于stm32f103c8t6的二轴云台控制工程，使用m2006电机
cartographer
包含cartographer、cartographer_ros和工作空间，添加完相关依赖后可直接编译
ceres-solver
cartographer所需要的优化器
DeepMapping2
[CVPR2023] DeepMapping2: Self-Supervised Large-Scale LiDAR Map Optimization
gazebo_maps
Self-made Gazebo maps and models for public
HBA
[RAL 2023] A globally consistent LiDAR map optimization module
joy_control_demo
仿真中遥感控制机器人的demo，方便复用
loam_livox
A robust LiDAR Odometry and Mapping (LOAM) package for Livox-LiDAR
LVI-SAM_detailed_comments
LVI-SAM: Tightly-coupled Lidar-Visual-Inertial Odometry via Smoothing and Mapping
optical_flow
LK 光流可视化
ORB_SLAM3
ORB-SLAM3: An Accurate Open-Source Library for Visual, Visual-Inertial and Multi-Map SLAM
orb_slam3_ros_wrapper
A ROS wrapper for ORB-SLAM3. Focus on portability and flexibility.
r2live
R2LIVE is a robust, real-time tightly-coupled multi-sensor fusion framework, which fuses the measurement from the LiDAR, inertial sensor, visual camera to achieve robust, accurate state estimation.
r3live
A Robust, Real-time, RGB-colored, LiDAR-Inertial-Visual tightly-coupled state Estimation and mapping package
SC-A-LOAM
Robust LiDAR SLAM with a versatile plug-and-play loop closing and pose-graph optimization.
seperate_filter
可分离的高斯滤波器实现
Thermal_SuperPoint_SLAM
Codebase for training a thermal SuperPoint network and vocabulary and integrating them with ORB-SLAM2
yuntai_m2006
与二轴云台ros控制对应的底层stm32工程，使用开发板为大疆A板