Martin Hintz (marthtz)

marthtz

Geek Repo

Company:Robert Bosch GmbH

Location:Stuttgart (Germany)

Home Page:https://www.hackerrank.com/mhintz

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Martin Hintz's repositories

CarND-T1P5-Vehicle-Detection

Identify vehicles in a video from a front-facing camera on a car using computer vision and machine learning classification techniques.

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colorSelect

Threshold an image interactively (HSV,HSL, Sobel X/Y)

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CarND-Capstone-TAG-Team

TAG Team implementation of the system integration capstone project in the Udacity Self-Driving Car Nanodegree Program.

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CarND-Catch-Run-Away-Car-UKF

In this Bonus Challenge use an Unscented Kalman Filter to try and catch a car moving in a continuous circle at constant velocity.

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CarND-MPC-Quizzes

Quizzes for Vehicle Models and Model Predictive Control sections.

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CarND-T1P1-LaneLines

Finding lane lines in images and videos using computer vision.

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CarND-T1P2-Traffic-Sign-Classifier-Project

Classification of traffic signs using deep learning and tensorflow.

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CarND-T1P3-Behavioral-Cloning

Driving a simulated car using a convolutional neural network by training from 3 camera images only,

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iceoryx

iceoryx project

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CarND-T1P4-Advanced-Lane-Lines

Advanced lane detection (incl. curvature) using advanced computer vision techniques.

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CarND-T2P1-Extended-Kalman-Filter-Project

Implementation of an Extended Kalman Filter to predict the position of a vehicle.

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CarND-T2P2-Unscented-Kalman-Filter-Project

Implementation of an Unscented Kalman Filter to predict the position of a vehicle.

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CarND-T2P3-Kidnapped-Vehicle-Project

Implementation of a particle filter to localize a vehicle in combination with map data.

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CarND-T2P4-PID-Control-Project

Implementation of a PID controller driving a simulated car.

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CarND-T2P5-MPC-Project

Implementation of a Model Predictive Controller driving a simulated car.

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math

Boost.org math module

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openadx.eclipse.org

OpenADx is about an ecosystem. Each company/partner brings its specialized expertise into one or more of the ecosystem topic areas helping to create the most efficient tool chain possible and improve that toolchain over time.

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ud120-projects

Projects for introduction course to ML (Udacity)

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