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Project-Traffic-Sign-Classifier
Building a Traffic Sign Recognition Project, This dataset has more than 50,000 images of 43 classes. I was able to reach a 98.889% validation accuracy, and a 97.2% testing accuracy.AVR-ATmega32-drivers-lib
Atmega-32 AVR Microcontroller device drivers library and with tests. implemented from ground up with no dependencies.pyfill
pyfill is a static python package used in sensor fusion algorithms , it contains most common probabilistic filters like (linear Kalman, Extended Kalman, Unscented Kalman, particle filter) besides motion models and measurement models , easy to use and fully tested .Project-Advanced-Finding-Lane-Lines
In this project, I wrote a software pipeline to identify the lane boundaries in a video from a front-facing camera on a car. The camera calibration images, test road images, and project videos are available .Project-Kidnapped-Vehicle
In this project, we will implement a 2-dimensional particle filter in C++. The particle filter will be given a map and some initial localization information (analogous to what a GPS would provide) to localize a vehicle.Project-Extended-Kalman-Filter
In this project you will utilize a kalman filter to estimate the state of a moving object of interest with noisy lidar and radar measurementProject-Finding-Lane-Lines
This is the First Project in Udacity Self-driving car NanodegreeProject-PID-Controller
This My eighth Project in Udacity Self-Driving Car NanodegreeSimple_Quiz_App
-Robot-Mapping-WS-2018-19-Assignments
Theses my assignments solutions for Robot Mapping - WS 2018/19 by Prof. Dr. Cyrill StachnissProject-Path-Planning
This seventh Project in Udacity Self-Driving Car NanodegreePython-Quick-Reference
this is my python summary and common Practices for Machine learningscikit-learn_Common_Practice
This Repo contains the Basic Usage of scikit-learn functions and classesProject-Behavioral-Cloning
This the Fourth Project in Udacity Self-Driving Car NanodegreeLove Open Source and this site? Check out how you can help us