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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.

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.

carnd-object-detection-lab

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.

finding-lane-lines

highway-driving-path-planning

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

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.

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!

mask_rcnn

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

self-driving-car-nanodegree---udacity

Self Driving Car Nanodegree Offered By Udacity

sensor-fusion

Sensor Fusion for 3D Object Detection for Driverless Cars

silverwhere

Config files for my GitHub profile.

system-integration---capstone-project

Self Driving Car Engineer Capstone Project

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.

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.