Reza Eyvazpour's repositories
awesome-point-clouds-registration
A list of papers about point clouds registration
RezaEyvazpour.github.io
Github Pages template for academic personal websites, forked from mmistakes/minimal-mistakes
minimal-mistakes
:triangular_ruler: Jekyll theme for building a personal site, blog, project documentation, or portfolio.
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
Kalman-and-Bayesian-Filters-in-Python
Kalman Filter book using Jupyter Notebook. Focuses on building intuition and experience, not formal proofs. Includes Kalman filters,extended Kalman filters, unscented Kalman filters, particle filters, and more. All exercises include solutions.
siml
Machine Learning algorithms implemented from scratch
ARM-VO
Efficient monocular visual odometry for ground vehicles on ARM processors
SLAM_Resources
SLAM Resources to follow up current SLAM trends and papers.
EEGLearn
A set of functions for supervised feature learning/classification of mental states from EEG based on "EEG images" idea.
yuzhangbit.github.io
my website based on https://github.com/mmistakes/minimal-mistakes. Please visit https://yuzhangbit.github.io for details.
Verilog-HDL
things about Verilog hardware description language
matlab-orb-slam
A MATLAB implementation of ORB-SLAM using SURF features.
mono-vo
An OpenCV based implementation of Monocular Visual Odometry