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joeylovepizza's Projects

fourier-piano icon fourier-piano

Some functionality to project Fourier transformed signals on a piano backdrop. The method can be used to easily identify what notes are in a chord or a melody.

fusion2018 icon fusion2018

Matlab code used for the paper " Invariant Kalman Filtering for Visual Inertial SLAM"

loam_noted icon loam_noted

loam code noted in Chinese(loam中文注解版)

piano-transcription icon piano-transcription

This Matlab code allows to transform a piano sound with one note played at a time into a piano roll indicating which note is played and when.

structure-from-motion icon structure-from-motion

Affine structure from motion in image sequences adapted from Derek Hoiem's CS 543/ECE 549 course at the University of Illinois at Urbana-Champaign

tracking-navigation-and-slam icon tracking-navigation-and-slam

The exercises are all part of a typical application theme, namely tracking, navigation and SLAM: • Bayesian estimation applied to beacon based measurement systems • Kinematic and dynamic models for tracking • Tracking based on discrete Kalman filtering for linear-Gaussian systems • Tracking with extended Kalman filtering in nonlinear systems • Tracking with particle filtering in nonlinear systems • Slam As such the exercises cover the following theoretical subjects: 1. Fundamentals of parameter estimation; static and scalar case 2. Unbiased linear minimum mean square estimation; static and scalar case 3. Unbiased linear minimum mean square estimation; static and vectorial case 4. Propagation of uncertainty in Gaussian-linear systems; prediction 5. Discrete Kalman filtering 6. Extended Kalman filtering 7. Particle filtering 8. SLAM

visual-slam icon visual-slam

Visual SLAM and 3D map building as well as robot trajectory estimation | GRASP research project

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