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advance_lane_finding

Udacity Project - Detect Hightway Lane using Bird-eyes View.

ardrone_project

Ardrone turm project is a project used only cameras to mapping, tracking and autonmous flying. The code was written in Python and C++. The algorithm behind is make ardrone remember one position and keep distance to this pose in constant.

behavioral_cloning

In this project, I use a neural network to clone car driving behavior. It is a supervised regression problem between the car steering angles and the road images in front of a car. Those images were taken from three different camera angles (from the center, the left and the right of the car). The network is based on The NVIDIA model, which has been proven to work in this problem domain. As image processing is involved, the model is using convolutional layers for automated feature engineering.

carnd-extended-kalman-filter-p1

Udacity Self-Driving Car Nanodegree - Extended Kalman Filter implementation

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

darknet

Windows and Linux version of Darknet Yolo v3 & v2 Neural Networks for object detection (Tensor Cores are used)

deep_learning

dependency-injection-java

ekf-project

find-lane-line

Udacity Project : using hough transform to detect which lane our car is moving on the auto-bahn, the code was written in Python and jupyter notebook

hello_world

infrastructure-as-code

Terraform test

it-cert-automation-practice

Google IT Automation with Python Professional Certificate - Practice files

jenkins_repo

kalman_filter

A simple Kalman_Filter in one and two dimension write in C++ and Python

katana_driver

ROS-driver for Katana_Robot_Arms, run on Ubuntu-16.04/ROS-Kinetic

kidnapped_vehicle

nao-robot-soccer

NAO robot detect red ball by using redball_detection API and then detect Goal by Landmark. Simultaneously robot go and shoot the ball

opencv_libraries

Learn OpenCV : C++ and Python Examples

os-sample-python

Sample Python Flask application for testing OpenShift 3 deployment using OpenShift default Python S2I builder and gunicorn.

rbgd-mapping-

Navigation with RTAB-Map and Hector-SLAM

spring-pet-clinic

spring5webapp

traffic_sign_classifier

Udacity- Excercise: The goals / steps of this project are the following: Load the data set (see below for links to the project data set) Explore, summarize and visualize the data set Design, train and test a model architecture Use the model to make predictions on new images Analyze the softmax probabilities of the new images Summarize the results with a written report

trafflic_light_classifier

This is a traffic light image classifier, written for the final project of my Udacity Intro to Self Driving Cars Nanodegree. The dataset is sourced from MIT. Project requirements: Greater than 90% accuracy Never classify red lights as green

udacity_selfdriving_milestone

Last project of Udacity, make a self-driving car actually work!

ukf-project

upload_servlet

Upload Servlet Apps