m-loay
Hi, I'm Mohamed, an Algorithm Software Engineer who passionate about developing solutions for autonomous system.
BeamABSweden
Pinned Repositories
Camera-Drivable-Areas-and-Obstacles-Detection
Developed state of art to localize vehicle using GPS, LIDAR and IMU sensors.
Camera-Feature-Tracking-2D
Compare all well known detectors and descriptors in Computer Vision
Flying-Robot-Localization-Based-GPS-IMU-Sensor-Fusion
Estimation of Quad position, velocity and Orientation.
IMU-and-LIDAR-Fusion-to-Localize-Vehicle
Developed state of art to localize vehicle using GPS, LIDAR and IMU sensors
LIDAR-and-Camera-Fusion-To-estimate-TTC-of-3D-Objects
Developed state of art algorithm to calculate time to collision between ego vehicle and preceding vehicle.
LIDAR-and-RADAR-Fusion-to-Track-Vehicles
Estimate the state of a moving object with noisy Lidar and Radar data using UKF
Lidar-Obstacle-Detection
Lidar-Obstacle-Detection
OOP_Concepts
OOP using C++
Radar_Target_Detection
Detect Vehicle range and angle from radar noisy measurements.
TI_TIVAC
Drivers of TI
m-loay's Repositories
m-loay/LIDAR-and-RADAR-Fusion-to-Track-Vehicles
Estimate the state of a moving object with noisy Lidar and Radar data using UKF
m-loay/Flying-Robot-Localization-Based-GPS-IMU-Sensor-Fusion
Estimation of Quad position, velocity and Orientation.
m-loay/LIDAR-and-Camera-Fusion-To-estimate-TTC-of-3D-Objects
Developed state of art algorithm to calculate time to collision between ego vehicle and preceding vehicle.
m-loay/Lidar-Obstacle-Detection
Lidar-Obstacle-Detection
m-loay/OOP_Concepts
OOP using C++
m-loay/ball-chaser-ws
Robot chasing w ball
m-loay/Build-Robot-World
The **Build-Robot-World** lab part of RoboND Gazebo Basics lesson.
m-loay/Calculator
OOP design in Calculator
m-loay/Coursera-Deep-Learning-Specialization
This repository contains my full documentation of Coursera's Deep Learning Specialization taught by the professor Andrew Ng offered by deeplearning.ai.
m-loay/FCND-Controls-CPP
Control Drone in 3D based on 3d-Controller
m-loay/FCND-Motion-Planning
Flying Vehicle Motion Planing
m-loay/Flying-Cars-Backyard
Starter kit for FCND Term 1. Control Quad Copter through Udacity Simulator.
m-loay/gtest_template
A simple usage of gtest
m-loay/Home-Service-Robot
Robot can navigate through unknown environment and plan path to reach goals.
m-loay/Kinetic_nvidia_support_docker
m-loay/Linuex-System-Monitor-for-all-processes
Provides a browser-based Linux for all running Processes
m-loay/melodic_nvidia_support_docker
m-loay/MOT-CPP
Implmentation of MOT Algos
m-loay/Noetic_nvidia_support_docker
m-loay/opencv-pcl-gpu-Docker-image
create opencv/pcl develope environment
m-loay/RoboND-Map-My-World
Project 4 - Udacity Robotics Software Engineer Nanodegree Program
m-loay/RoboND-MCL-Lab
Monte Carlo Localization Algorithm C++ LAB
m-loay/RoboND-OccupancyGridMappingAlgorithm
Occupancy Grid Mapping Lab
m-loay/RobotND-Lab-ws
RobotND-EKF-Lab-ws udacity
m-loay/ROS-Template-ws
Template Project for ROS workspace
m-loay/ROS_Tutorials
Basics Knowledge of ROS
m-loay/RTAB-Slam-ROS
In this project you will create a 2D occupancy grid and 3D octomap from a simulated environment using your own robot with the RTAB-Map package.
m-loay/Tdd_gtest
m-loay/tutorials
Set of Jupyter Notebooks, along with datafiles, to get started with Scientific Computing in Astronomy
m-loay/Where-Am-I
In this project the goal was to implement Adaptive Monte Carlo Localization (AMCL) package based robot localization within ROS framework