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Bassam Sayed photo

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followers: 1.0 following: 3.0 repos: 22.0 gists: 0.0

Name: Bassam Sayed

Type: User

Company: AI & Biometrics Team | Tools For Humanity | Worldcoin.org

Bio: Senior Data/AI/ML Platform Engineer with 10+ years of experience developing BigData/AI/ML software. Ph.D. in Software Engineering.

Location: Toronto, ON

Bassam Sayed's Projects

behavioral-cloning icon behavioral-cloning

This project uses CNN deep neural network to clone human driving behavior around a track.

extended-kalman-filter icon extended-kalman-filter

This project implements sensor fusion algorithm using a kalman filter to estimate the state of a moving object of interest with noisy lidar and radar measurements.

f1tenth_gym_ros icon f1tenth_gym_ros

Containerized ROS communication bridge for F1TENTH gym environment.

if-transplier icon if-transplier

Ph.D. Work. Thesis can be found @ https://dspace.library.uvic.ca/handle/1828/7063

jsshaper icon jsshaper

an extensible framework for JavaScript syntax tree shaping

kidnapped-vehicle icon kidnapped-vehicle

This repository contains the code that implements the Particle Filter project for the Localization course in Udacity's Self-Driving Car Nanodegree.

mpc-controller icon mpc-controller

This project implements a Model Predictive Control to drive a car around a track in a simulator.

nvchad-custom-config icon nvchad-custom-config

This repository contains my personalized NvChad configuration, incorporating LSP, Copilot, and syntax highlighting features.

path-planner icon path-planner

This project implements a path-planner that is capable of safely navigating a car around a virtual highway with other traffic that is driving +-10 MPH of the 50 MPH speed limit.

pid-controller icon pid-controller

This project implements a PID controller in C++ to maneuver a vehicle around a track in a simulator.

semantic-segmentaion icon semantic-segmentaion

This project labels the pixels of a road in images using a Fully Convolutional Network (FCN).

unscented-kalman-filter icon unscented-kalman-filter

This project implements sensor fusion using an Unscented Kalman Filter to estimate the state of a moving object of interest with noisy lidar and radar measurements.

vehicle-detection icon vehicle-detection

This project implements a pipeline to identify and track vehicles in a video stream from a front-facing camera on a car.

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