Name: Muhammmad kazim
Type: User
Company: Khalifa University
Bio: Postdoctoral Researcher at Khalifa University, Abu Dhabi, UAE.
My research area is Autonomous vehicles (UAVs and UGVs), Control theory, CV, DL, and DRL.
Location: Abu Dhabi, UAE
Blog: dr-kazim.com
Muhammmad kazim's Projects
PySlowFast: video understanding codebase from FAIR for reproducing state-of-the-art video models.
Sniffy Bug: A fully autonomous swarm of gas-seeking nano quadcopters in cluttered environments
ROS: Zero to ROS course
Multi-modal ROS-based people detection and tracking framework for mobile robots developed within the context of the EU FP7 project SPENCER.
Street lanes finder for self-driving carsπ.
Super Fast and Accurate 3D Object Detection based on 3D LiDAR Point Clouds (The PyTorch implementation)
Trajectory generation and simulation for multi-agent swarm
A jupyter based application to explore different control techniques of a simple temperature plant
Teach-Repeat-Replan: A Complete and Robust System for Aggressive Flight in Complex Environments
Dissertation
DroneBlocks Python, OpenCV, and ArUco markers course with Tello from Pat Ryan
Tello AI features. Face recognition and tracking, collision avoidance, reinforcement learning and more.
This is a collection of python modules that interact with the Ryze Tello drone.
DJI Tello drone controller python package
Tensorflow 2 Reinforcement Learning Cookbook, published by Packt
Differentiable Optimization-Based Modeling for Machine Learning
Ground control station and optimization code from Tango on Quadrotors project - NTR 50759
Open source Reinforcement Learning suit for training AI agents (autonomous robots) how to track objects and avoid obstacles.
Object (e.g Pedestrian, vehicles) tracking by Extended Kalman Filter (EKF), with fused data from both lidar and radar sensors.
Code accompanying "The Trajectron: Probabilistic Multi-Agent Trajectory Modeling with Dynamic Spatiotemporal Graphs" by Boris Ivanovic and Marco Pavone.
TensorFlow Reinforcement Learning
Repository for the tum_ardrone ROS package, implementing autonomous flight with PTAM-based visual navigation for the Parrot AR.Drone.
ROS node for real-time FCNN depth reconstruction
UAV Obstacle Avoidance using Deep Recurrent Reinforcement Learning with Temporal Attention
Simulation tool for UAVs based on the UE4 game engine.
My solutions, projects and experiments of the Udacity Deep Learning Foundations Nanodegree (November 2017 - February 2018)
Contains my solutions for various Nanodegree Programs (Robotics, Artificial Intelligence, Machine Learning, Deep Reinforcement Learning, Computer Vision, Sensor Fusion, Flying Cars).