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Hello everyone, I am an Autonomous System Engineer and AI Researcher currently working on developing open source autonomous vehicle projects ;

  • Autonomous visual navigation components for drones and ground vehicles using deep learning powered by the Nvidia jetson onboard computers (AGX Xavier, NX & Nano).
  • Reinforcement Learning Engine environment for training autonomous single and multi-agent (In-progress).

I am seeking sponsorship to help support the development of this exciting project. The funding received will be used to purchase hardware and software components, as well as cover the costs associated with testing, validation, and deployment :

  • Acquiring new powerful hardware (On-bord computers : Nvidia Jetson Orin, Computation power for reinforcement learning and simulation : Nvidia Quadro / A GPUs).
  • Acquiring softwares and cloud ressources ( AWS, GCP ).

I'm so excited about the projects (Autonomous navigation for UAVs, NASA F-prime project) I'm developing that I can't wait to share a photo/code sources of it with you :

Khlaifiabilel

Khlaifiabilel

@khlaifiabilel

To successfully develop an autonomous vehicle, I estimate that I will need approximately $1000 per month to cover the cost of necessary hardware components and software tools. This funding will be used to purchase a range of components, such as sensors, actuators, and processing units, as well as cover the cost of software licenses and cloud computing services. The use of high-quality hardware and software components is essential for ensuring the safety and reliability of the autonomous vehicle, and your support will help me to acquire the necessary tools to advance this exciting project. I am committed to ensuring that all funds received are used efficiently and effectively to maximize progress towards our shared goals.

Featured work

  1. khlaifiabilel/Autonomous-UAV-visual-navigation

    Visual Navigation and Optimal Control for Autonomous Drone

    C++ 11
  2. khlaifiabilel/Reinforcement-Learning-of-Quadrotor-Control

    PyBullet Gym environments for single and multi-agent reinforcement learning of quadcopter control

    Python 2
  3. khlaifiabilel/Autonomous-Navigation-of-Micro-Aerial-Vehicles

    Framework for Autonomous Navigation of Micro Aerial Vehicles

    C++ 1
  4. khlaifiabilel/Autonomous-Flying-UAVs

    GAAS is an open-source program designed for fully autonomous VTOL(a.k.a flying cars) and drones. GAAS stands for Generalized Autonomy Aviation System.

    C++ 1
  5. khlaifiabilel/Reinforcement-Learning-RL-UAV-Engine

    Reinforcement Learning (RL) UAV Engine

    Python 1
  6. khlaifiabilel/ORB_SLAM2

    Real-Time SLAM for Monocular, Stereo and RGB-D Cameras, with Loop Detection and Relocalization Capabilities

    C++

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