zhouyang0928's repositories
IMU_Attitude_Estimator
Estimate AHRS attitude with EKF, ESKF and Mahony filter.
aiimooc_lesson
睿慕课三维点云处理课程作业代码
apollo
An open autonomous driving platform
awesome-semantic-segmentation
:metal: awesome-semantic-segmentation
CHINESE-OCR
[python3.6] 运用tf实现自然场景文字检测,keras/pytorch实现ctpn+crnn+ctc实现不定长场景文字OCR识别
crnn_chinese_characters_rec
chinese characters recognition
cv_papar_list
Latest paper collection about Localization, Mapping, SLAM(Simultaneous Localization and Mapping), Deepth estimation and Visual Odometry, Optical Flow Estimation, Deep learning theory, Machine Learning theory etc.
depth_clustering
:taxi: Fast and robust clustering of point clouds generated with a Velodyne sensor.
dso
Direct Sparse Odometry
ethzasl_msf
MSF - Modular framework for multi sensor fusion based on an Extended Kalman Filter (EKF)
exercise
exercise for nndl
hfnet
From Coarse to Fine: Robust Hierarchical Localization at Large Scale with HF-Net (https://arxiv.org/abs/1812.03506)
Learn-ORB-VIO-Stereo-Mono
Stereo and Mono VIO, Visual Inertial, ORB-SLAM2
LeGO-LOAM
LeGO-LOAM: Lightweight and Ground-Optimized Lidar Odometry and Mapping on Variable Terrain
LeGO-LOAM_NOTED
LeGO-LOAM代码注释与学习
lidarslam_ros2
ROS2 package of 3D lidar slam using ndt/gicp registration and pose-optimization
LOAM_NOTED
loam code noted in Chinese（loam中文注解版）
loam_velodyne
Laser Odometry and Mapping (Loam) is a realtime method for state estimation and mapping using a 3D lidar.
ndt_omp
Multi-threaded and SSE friendly NDT algorithm
nndl-codes
Sample Codes for NNDL
nndl.github.io
《神经网络与深度学习》 Neural Network and Deep Learning
ORB_SLAM2_SSD_Semantic
动态语义SLAM 目标检测+VSLAM+光流/多视角几何动态物体检测+octomap地图+目标数据库
Recent_SLAM_Research
Track Advancement of SLAM 跟踪SLAM前沿动态【2021 version】
TinyGrapeKit
A bunch of state estimation algorithms
tr
Free Offline OCR 离线的中文文本检测+识别SDK
VI-Stereo-DSO
Direct sparse odometry combined with stereo cameras and IMU
YOLOP-opencv-dnn
使用OpenCV部署全景驾驶感知网络YOLOP，可同时处理交通目标检测、可驾驶区域分割、车道线检测，三项视觉感知任务，包含C++和Python两种版本的程序实现。本套程序只依赖opencv库就可以运行， 从而彻底摆脱对任何深度学习框架的依赖。