• Summary

    Wider Objectives:
    ● Establish a world-class research platform in the field of autonomous vehicles.
    ● Address traffic safety issues, which is a major economic and health burden for governments worldwide.
    Specific Objectives:
    ● Adapt a commercial Urban vehicle into an Autonomy level 4 vehicle as a relatively new technology that we can still contribute in significantly in the main Autonomous modules.
    ● Establish a solid research in the field of perception, specifically contributing in Lane-less Perception and navigation, through the usage of deep learning neural networks in the fields of pedestrian and objects identification in real-time systems.
    ● Establish a solid research in the field of localization and state estimation, specifically contributing in the research associated with covariance estimation of Extended Kalman filters, Unscented Kalman filters, H-infinity based filters, and moving horizon filters.
    ● Establish a solid research in the field of high-level control using adaptive optimal control strategies such as adaptive model predictive control, not to mention the contribution in the behavioral control for seamless driving experience.

  • Achievements


  • List of Publications from the Project


  • Partners

  • Project Members

  • Project Leaders

  • Project PI

    Maged Ghoneima

  • Faculty

    Faculty of Engineering

  • Research Group

  • Funding Agency

    STDF / STIFA

  • Funding Program

    Demand-Driven Projects (STDF-DDP)

  • Start Date

    2021-01-01

  • End Date

    2023-11-05

  • Sustainable Development Goals (SDGs)

    • 9: Industry, Innovation and Infrastructure
    • 11: Sustainable Cities and Communities
  • Project website