This project uses an Unscented Kalman Filter to try and catch a car moving in a continuous circle at constant velocity. This is a Bonus Challenge Project.

carnd-extended-kalman-filter-project

Estimate the state of a car in a simulator with noisy lidar and radar measurements using the Extended Kalman Filter. RMSE values should be less than 0.1.

carnd-kidnapped-vehicle-project

carnd-lenet-lab

TensorFlow, DNN, CNN, LeNet architecture exercise

carnd-mpc-project

CarND Term 2 Model Predictive Control (MPC) Project

carnd-path-planning-project

Create a path planner that is able to navigate a car safely around a virtual highway

carnd-pid-control-project

carnd-semantic-segmentation

carnd-unscented-kalman-filter-project

Estimate the state of a car in a simulator with noisy lidar and radar measurements using the Unscented Kalman Filter. RMSE values should be less than 0.1.

cat-clicker

Project for JavaScript Design Patterns

chemowizrdy

classifying_traffic_signs

Identify traffic sign images through Supervised Classification via Deep Learning and Computer Vision using Python, Tensorflow, Jupyter and Anaconda in AWS Cloud.

create-your-own-adventure

fe-project-0

Front-End first project - About Me

finding_lane_lines

Given a series of road images, this project detects the lane lines and overlays a pair of guide lines. The project uses Anaconda, Jupyter and Numpy, matplotlib, OpenCV and Panda Python libraries.