Ian (silverwhere)

silverwhere

Geek Repo

Company:National Defence

Location:Ottawa, Ontario

Twitter:@silverwhere

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Ian's repositories

Self-Driving-Car-Nanodegree---Udacity

Self Driving Car Nanodegree Offered By Udacity

Language:C++Stargazers:32Issues:1Issues:0

Extended-Kalman-Filter

Utilized an Extended Kalman Filter and Sensor Fusion to estimate the state of a moving object of interest with noisy lidar and radar measurements. The project involved utilzing lidar data (Point Cloud) for position and radar data (Doppler) for radial velocity.

Language:C++Stargazers:18Issues:2Issues:0

Advanced-Lane-Finding

Advanced computer vision techniques to identify lanes, the position of the vehicle within the lane, the radius of curvature of the lane.

Language:ShellLicense:MITStargazers:2Issues:2Issues:0

Highway-Driving-Path-Planning

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

Language:C++License:MITStargazers:2Issues:0Issues:0

Traffic-Sign-Classifier

I utilized deep neural networks and convolutional neural networks to classify traffic signs. I trained and validated a model so it can classify traffic sign images using the German Traffic Sign Dataset.

Language:PythonLicense:MITStargazers:2Issues:2Issues:0

Behavioural-Cloning

I utilized end-to-end deep learning using convolutional neural networks (CNNs) to map the raw pixels from (3) front-facing cameras to the steering commands for a self-driving car.

Language:PythonLicense:MITStargazers:1Issues:2Issues:0

Kidnapped-Vehicle---Particle-Filter

Utilizing data from initial GPS estimates and LIDAR data, I can use a particle filter based on the vehicle's reported observations of objects nearby to localize it and find it!

Language:C++License:MITStargazers:1Issues:2Issues:0
Language:Jupyter NotebookLicense:MITStargazers:0Issues:0Issues:0

Intro-to-Self-Driving-Cars---Udacity

Class projects for the Udacity Intro to Self Driving Vehicles nanodegree - In this program, I applied Python skills, and C++, apply matrices and calculus in code, computer vision and machine learning. These concepts will be applied to solving self-driving car problems.

Language:C++Stargazers:0Issues:2Issues:0

Mask_RCNN

Mask R-CNN for object detection and instance segmentation on Keras and TensorFlow

License:NOASSERTIONStargazers:0Issues:0Issues:0

Sensor-Fusion

Sensor Fusion for 3D Object Detection for Driverless Cars

License:GPL-3.0Stargazers:0Issues:0Issues:0

silverwhere

Config files for my GitHub profile.

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System-Integration---Capstone-Project

Self Driving Car Engineer Capstone Project

Language:CMakeLicense:MITStargazers:0Issues:2Issues:0

Traffic-Light-Classification

A detailed tutorial on how to build a traffic light classifier with TensorFlow for the capstone project of Udacity's Self-Driving Car Engineer Nanodegree Program.

License:MITStargazers:0Issues:0Issues:0