Fabian Aguilar's repositories

Stereo-Visual-Odometry-with-KITTI-Vision-Benchmark

This software is a Sparse Stereo Visual Odometry system for navigation of autonomous vehicles. The proposed system has the capability to estimate the camera’s pose based on its surrounding environment. In contrast to other Visual Odometry systems with Bundle Adjustment optimization, the system proposed in here differs in four main aspects: (1) it utilizes both stereo frames to track features between frames; (2) it does not require a bootstrap step to initialize the algorithm; (3) it performs a local optimization at every increment frame instead of perform a windowed optimization; and (4) it consider the both stereo images inside the optimization instead of just one side of the stereo system. The system was tested on the Karlsruhe Institute of Technology (KITTI) Vision Benchmark.

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Data-Analysis-with-Python-Zero-to-Pandas

"Data Analysis with Python: Zero to Pandas" is a practical, beginner-friendly and coding-focused introduction to data analysis covering the basics of Python, Numpy, Pandas, data visualization and exploratory data analysis.

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Deep-Learning-with-PyThorch-Zero-to-GANs

“Deep Learning with PyTorch: Zero to GANs” is an online course intended to provide a codingfirst introduction to deep learning using the PyTorch framework. The course takes a hands-on coding-focused approach and will be taught using live interactive Jupyter notebooks, allowing students to follow along and experiment. Theoretical concepts will be explained in simple terms using code.

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ZED-and-ZED-Mini-Depth-Estimation-Evaluation

Software to evaluate depth estimation of ZED and ZED Mini stereo cameras for measurement purposes as part of the Master Thesis Project: Sparse Stereo Visual Odometry with Local Non-Linear Least-Squares Optimization for Navigation of Autonomous Vehicles

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cmake_tutorial

This repo is used to learn and practice cmake

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cpp_learning_resources

This repository includes resources, courses, exercises, and configuration files that I used to learn C++

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mexopencv

Collection and a development kit of matlab mex functions for OpenCV library

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OPVO

Sample code of BMVC 2017 paper: "Visual Odometry with Drift-Free Rotation Estimation Using Indoor Scene Regularities"

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Stereo-Odometry-SOFT

MATLAB Implementation of Visual Odometry using SOFT algorithm

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