ksakmann/DataScienceAtScale

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Created almost 8 years ago
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ksakmann/DataScienceAtScale

ksakmann

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course material of the Coursera and University of Washington online course

CarND-MPC-Project

Sampled Data Nonlinear Model Predictive Control for steering a car in a simulator. Takes actuator delays into account.

CarND-BehavioralCloning

Convolutional Neural Network that clones human driving behavior in a simulator

Jupyter Notebook

CarND-Vehicle-Detection

A vehicle tracker based on sliding windows, HOG and an SVM

Jupyter Notebook

Particle-Filter

A particle filter to localize a car using LIDAR data

Jupyter Notebook

Unscented-Kalman-Filter

Unscented Kalman Filter using LIDAR and RADAR measurements for pedestrian tracking

CarND-Advanced-Lane-Lines

Computer vision project to detect lane lines from a video under changing lighting conditions

Jupyter Notebook

CarND-PID-Control-Project

PID controller with variable set point to steer a car

CarND-Semantic-Segmentation

A fully convolutional network for road classification

CarND-TrafficSignClassifier

Convolutional neural network to classify traffic signs in plain tensorflow reaching ~97% test accuracy.

Jupyter Notebook

team-robo4

team-robo4 project

Canny-Edge-Lane-Line-Detector

A lane line detector that uses Canny-Edge detection together with Hough transforms to extract white and yellow lane lines

Jupyter Notebook

CarND-Camera-Calibration

Using OpenCV to calibrate a camera

Jupyter Notebook

Hybrid-Breadth-First

plans a smooth trajectory through a maze

Extended-Kalman-Filter

Extended Kalman Filter using LIDAR and RADAR measurements for pedestrian tracking

Behavior-Planning

A path planner for changing and staying in lanes