Bassam Sayed's Projects
This project implements a software pipeline to identify the lane boundaries in a video stream.
Configuration for AstroNvim
This project uses CNN deep neural network to clone human driving behavior around a track.
This project uses deep neural networks (CNN) to classify traffic signs.
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.
Containerized ROS communication bridge for F1TENTH gym environment.
Lab assignments for F1tenth course
Ph.D. Work. Thesis can be found @ https://dspace.library.uvic.ca/handle/1828/7063
an extensible framework for JavaScript syntax tree shaping
This repository contains the code that implements the Particle Filter project for the Localization course in Udacity's Self-Driving Car Nanodegree.
LazyVim configs
Mars Rover Challenge Implementation
This project implements a Model Predictive Control to drive a car around a track in a simulator.
Neovim Chad configs
This repository contains my personalized NvChad configuration, incorporating LSP, Copilot, and syntax highlighting features.
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.
This project implements a PID controller in C++ to maneuver a vehicle around a track in a simulator.
This project labels the pixels of a road in images using a Fully Convolutional Network (FCN).
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.
This project implements a pipeline to identify and track vehicles in a video stream from a front-facing camera on a car.