ivanlim Goto Github PK

advanced-lane-line

Advanced Lane Line Identification project. Part of the Udacity Self Driving Car Nanodegree program. Use more advanced techniques to detect lane lines in a more robust manner, and also calculate useful information such as road curvature and distance from lane center.

behavioural-cloning

Behavioural Cloning Project. Part of the Udacity Self Driving Car Nanodegree program. Design and train a Convolutional Neural Network to drive by feeding it frames and steering data captured from a driving simulator.

carnd-capstone

extended-kalman-filter

Extended Kalman Filter project. Part of the Udacity Self Driving Car Engineer Nanodegree program. Implement Extended Kalman Filtering in C++ to predict the position and velocity of a moving car, using fused sensor input (LIDAR and RADAR).

mpc-controller

MPC Controller project. Part of the Udacity Self Driving Car Engineer Nanodegree program. Implement Model Predictive Control in C++ to control a vehicle and make sure it can drive around the simulator track properly.

opencog

A framework for integrated Artificial Intelligence & Artificial General Intelligence (AGI)

particle-filter

Particle Filters project. Part of the Udacity Self Driving Car Engineer Nanodegree program. Implement a particle filter to localize a vehicle based on its observations, and a known map of landmarks.

path-planning

pid-controller

quantopian_lectures

Quantitative research and educational materials

quantstats

Portfolio analytics for quants, written in Python

semantic-segmentation

simple-lane-line

Simple Lane Line Identification project. Part of the Udacity Self Driving Car Nanodegree program. Process an image using Canny Edge detection and Hough Transforms to figure out where the lane lines are in the image / video.

traffic-sign-classifier

German Traffic Sign Classifier project. Part of the Udacity Self Driving Car Nanodegree program. Design and train a convolutional neural network to identify German Traffic Signs.

unscented-kalman-filter

Unscented Kalman Filter project. Part of the Udacity Self Driving Car Engineer Nanodegree program. Implement Unscented Kalman Filtering in C++ to predict the position and velocity of a moving car, using fused sensor input (LIDAR and RADAR).

vehicle-detection

Vehicle Detection project. Part of the Udacity Self Driving Car Engineer Nanodegree program. Use classical machine learning techniques to identify vehicles on the road.