GXX's repositories
navigation
ROS Navigation stack. Code for finding where the robot is and how it can get somewhere else.
rmf_demos
Demonstrations of the OpenRMF software
S-FAST_LIO
A simplified implementation of FAST_LIO (with Chinese note)
SensorsCalibration
OpenCalib: A Multi-sensor Calibration Toolbox for Autonomous Driving
cartographer
Cartographer is a system that provides real-time simultaneous localization and mapping (SLAM) in 2D and 3D across multiple platforms and sensor configurations.
BALM
An efficient and consistent bundle adjustment for lidar mapping
FAST_LIO
仅用于学习
styleguide
Style guides for Google-originated open-source projects
r3live
A Robust, Real-time, RGB-colored, LiDAR-Inertial-Visual tightly-coupled state Estimation and mapping package
csm
The C(canonical) Scan Matcher
ResetTime
用于Linux系统切换到Windows时自动修正系统时间
imu_calibration
imu_calibration
easy_profiler
Lightweight profiler library for c++
gdutthesis-Word
广东工业大学 Word 论文模板
google-style-clang-format
A .clang-format file for Google C++ Style.
srf_laser_odometry
Robust Planar Odometry Based on Symmetric Range Flow and Multi-Scan Alignment
Creating-2D-laser-slam-from-scratch
从零开始创建二维激光SLAM
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.
open_karto
Catkinized ROS Package of the OpenKarto Library (LGPL3)
VINS-Mono-noted
detailed chinese notes for vins-mono
orb_slam_2_ros
A ROS implementation of ORB_SLAM2
photo2cartoon
人像卡通化探索项目 (photo-to-cartoon translation project)
hand-gesture-recognition-using-mediapipe
MediaPipe(Python版)を用いて手の姿勢推定を行い、検出したキーポイントを用いて、簡易なMLPでハンドサインとフィンガージェスチャーを認識するサンプルプログラムです。（Estimate hand pose using MediaPipe(Python version). This is a sample program that recognizes hand signs and finger gestures with a simple MLP using the detected key points.）
rf2o_laser_odometry
Estimation of 2D odometry based on planar laser scans. Useful for mobile robots with innacurate base odometry. For full description of the algorithm, please refer to: Planar Odometry from a Radial Laser Scanner. A Range Flow-based Approach. ICRA 2016 Available at: http://mapir.isa.uma.es/mapirwebsite/index.php/mapir-downloads/papers/217