Update README.md

README.md

 # Visual-Odometry-Review
 SLAM is mainly divided into two parts: the front end and the back end. The front end is the visual odometer (VO), which roughly estimates the motion of the camera based on the information of adjacent images and provides a good initial value for the back end.The implementation methods of VO can be divided into two categories according to whether features are extracted or not: feature point-based methods, and direct methods without feature points. VO based on feature points is stable and insensitive to illumination and dynamic objects
+
+=====================================================================================
+github：https://github.com/MichaelBeechan
+CSDN：https://blog.csdn.net/u011344545
+=====================================================================================
+
+OF-VO：Robust and Efficient Stereo Visual Odometry Using Points and Feature Optical Flow
+
+代码：https://github.com/MichaelBeechan/MyStereoLibviso2
+
+SVO: Fast Semi-Direct Monocular Visual Odometry
+论文：http://rpg.ifi.uzh.ch/docs/ICRA14_Forster.pdf
+代码：https://github.com/uzh-rpg/rpg_svo
+
+Robust Odometry Estimation for RGB-D Cameras
+Real-Time Visual Odometry from Dense RGB-D Images
+论文：http://www.cs.nuim.ie/research/vision/data/icra2013/Whelan13icra.pdf
+代码：https://github.com/tum-vision/dvo
+
+Parallel Tracking and Mapping for Small AR Workspaces
+论文：https://cse.sc.edu/~yiannisr/774/2015/ptam.pdf
+http://www.robots.ox.ac.uk/ActiveVision/Papers/klein_murray_ismar2007/klein_murray_ismar2007.pdf
+代码：https://github.com/Oxford-PTAM/PTAM-GPL
+
+ORBSLAM
+代码：https://github.com/raulmur/ORB_SLAM2
+https://github.com/raulmur/ORB_SLAM
+
+A ROS Implementation of the Mono-Slam Algorithm
+论文：https://www.researchgate.net/publication/269200654_A_ROS_Implementation_of_the_Mono-Slam_Algorithm
+代码：https://github.com/rrg-polito/mono-slam
+
+DTAM: Dense tracking and mapping in real-time
+论文：https://ieeexplore.ieee.org/document/6126513
+代码：https://github.com/anuranbaka/OpenDTAM
+
+LSD-SLAM: Large-Scale Direct Monocular SLAM
+论文：http://pdfs.semanticscholar.org/c13c/b6dfd26a1b545d50d05b52c99eb87b1c82b2.pdf
+https://vision.in.tum.de/research/vslam/lsdslam
+代码：https://github.com/tum-vision/lsd_slam
+
+MSCKF_VIO：Robust Stereo Visual Inertial Odometry for Fast Autonomous Flight
+论文：https://arxiv.org/abs/1712.00036
+代码：https://github.com/KumarRobotics/msckf_vio
+
+LIBVISO2: C++ Library for Visual Odometry 2
+论文：http://www.cvlibs.net/software/libviso/
+代码：https://github.com/srv/viso2
+
+Stereo Visual SLAM for Mobile Robots Navigation
+A constant-time SLAM back-end in the continuum between global mapping and submapping: application to visual stereo SLAM
+论文：http://mapir.uma.es/famoreno/papers/thesis/FAMD_thesis.pdf
+代码：https://github.com/famoreno/stereo-vo
+
+Combining Edge Images and Depth Maps for Robust Visual Odometry
+Robust Edge-based Visual Odometry using Machine-Learned Edges(REVO)
+论文：https://graz.pure.elsevier.com/
+代码：https://github.com/fabianschenk/REVO
+
+HKUST Aerial Robotics Group
+VINS-Mono: A Robust and Versatile Monocular Visual-Inertial State Estimator
+论文：https://arxiv.org/pdf/1708.03852.pdf
+代码：https://github.com/HKUST-Aerial-Robotics/VINS-Mono
+
+VINS-Fusion:Online Temporal Calibration for Monocular Visual-Inertial Systems
+论文：https://arxiv.org/pdf/1808.00692.pdf
+代码;https://github.com/HKUST-Aerial-Robotics/VINS-Fusion
+
+Monocular Visual-Inertial State Estimation for Mobile Augmented Reality
+论文：https://ieeexplore.ieee.org/document/8115400
+代码：https://github.com/HKUST-Aerial-Robotics/VINS-Mobile
+
+VINet: Visual-Inertial Odometry as a Sequence-to-Sequence Learning Problem
+论文：https://arxiv.org/abs/1701.08376
+代码：https://github.com/HTLife/VINet
+
+Computer Vision Group TUM Department of Informatics Technical University of Munich
+DSO: Direct Sparse Odometry
+代码;https://github.com/JingeTu/StereoDSO
+Visual-Inertial DSO：https://vision.in.tum.de/research/vslam/vi-dso
+DVSO：https://vision.in.tum.de/research/vslam/dvso
+DSO with Loop-closure and Sim(3) pose graph optimization：https://vision.in.tum.de/research/vslam/ldso
+
+Stereo odometry based on careful feature selection and tracking
+论文：https://ieeexplore.ieee.org/stamp/stamp.jsp?arnumber=7324219
+代码：https://github.com/Mayankm96/Stereo-Odometry-SOFT
+
+OKVIS: Open Keyframe-based Visual-Inertial SLAM
+代码：https://github.com/gaoxiang12/okvis
+
+Trifo-VIO: Robust and Efficient Stereo Visual Inertial Odometry using Points and Lines
+论文：https://arxiv.org/pdf/1803.02403.pdf
+代码：https://github.com/UMiNS/Trifocal-tensor-VIO
+
+PL-VIO: Tightly-Coupled Monocular Visual–Inertial Odometry Using Point and Line Features
+论文：https://www.mdpi.com/1424-8220/18/4/1159/html
+
+A Review of Visual-Inertial Simultaneous Localization and Mapping from Filtering-Based and Optimization-Based Perspectives：视觉惯导的综述性文章
+
+