Mohamed Nagy's repositories
DFR-FastMOT
DFR-FastMOT: A state-of-the-art multi-object tracking solution designed for dynamic environments. Harnessing sensor fusion and algebraic methods, DFR-FastMOT excels in occlusion scenarios. This framework integrates camera and LiDAR data, offering outstanding tracking performance for real-world challenges.
KITTI-MOT.Bench-Evals
KITTI evaluation results for multi-object tracking using detectors with different performance.
autonomous-car-simulator-tracking
This repository contains 2D/3D object tracking DFR-FastMOT tracker via an autonomous car model on Gazdebo..
MountainCar-discretization-reinforcement
This code repository contains the implementation of Q-Learning agent for Mountain Car game. It is part of the lab exercise for the COSC-604 Artificial Intelligence course for masters students at Khalifa University.
Algorithm-DataStructure
The Algorithm-DataStructure repository is a collection of Python implementations of various basic and advanced algorithms and data structures. It includes common algorithms like binary search, dynamic programming, and graph algorithms, as well as data structures like linked lists, stacks, queues, and trees.
home-service-robot
The Home Service Workspace project is a robotics project developed using ROS (Robot Operating System). It aims to simulate a home service scenario where a robot performs pick-up and drop-off tasks autonomously in a simulated environment.
Roughness
Roughness Score for surface.
3D-Multi-Object-Tracker
A project for 3D multi-object tracking on KITTI dataset
datasciencecoursera
Data Science Repo and blog for John Hopkins Coursera Courses. Please let me know if you have any questions.
pddl-parser-update
:snake: Classical Planning in Python
PX4-SITL_gazebo-classic
Set of plugins, models and worlds to use with OSRF Gazebo Simulator in SITL and HITL.
RoadSceneUnderstanding-ModifiedUNet
This project contains two experiments for semantic segmentation using a Modified Version of the U-Net model. The first experiment is semantic segmentation for one class, like cars, and the second experiment considers multiple classes.
robot-localization
This project implements a simple robot localization algorithm in C++, using a one-dimensional world with colored grid cells. The algorithm calculates the probability of the robot's location after each movement and sensing step, taking into account sensor faults and movement uncertainty.
robot-localization-mcl-particle-filter
This project utilizes QCML amcl ros package to perform particle filter localization of a customized robot on a maze world.
segmenter
[ICCV2021] Official PyTorch implementation of Segmenter: Transformer for Semantic Segmentation
Semantic-Segmentation-Suite
Semantic Segmentation Suite in TensorFlow. Implement, train, and test new Semantic Segmentation models easily!