Advanced Air Mobility (AAM) aircraft require perception systems for precision approach and landing systems (PALS) in urban, suburban, rural, and regional environments. The current state-of-the-art methods approved for automated approach and landing will be difficult to utilize in support of AAM operational concepts. However, there are technology and systems from other applications and lower-TRL research that use vision, IR, radar, and GPS methods to provide baseline perception and sensing requirements for AAM aircraft approach and landing. This paper focuses on vision-based PAL to demonstrate a closed-loop baseline controller while adhering to the Federal Aviation Administration requirements and regulations. The coplanar algorithm determines pose estimation, which feeds into an Extended Kalman filter. Combining IMU with vision creates a sensor fusion navigation solution for GPS-denied environments. The state estimate leads to glideslope and localizer error computations, which will be pertinent for designing and deriving guidance laws and control laws for AAM PALS. The IMU and vision navigation solution provides promising simulation results for AAM PALS, and higher fidelity simulations will include computer graphics rendering and feature correspondence.


    Access

    Access via TIB

    Check availability in my library


    Export, share and cite



    Title :

    Vision-Based Precision Approach and Landing for Advanced Air Mobility


    Contributors:

    Conference:

    2022 Scitech Forum ; 2022 ; San Diego, US


    Published in:

    Publication date :

    2022-01-03


    Type of media :

    Conference paper


    Type of material :

    No indication


    Language :

    English




    Vision-Based Precision Approach and Landing for Advanced Air Mobility

    Kawamura, Evan / Kannan, Keerthana / Lombaerts, Thomas et al. | AIAA | 2022


    Vision-Based Precision Approach and Landing for Advanced Air Mobility

    Kawamura, Evan / Kannan, Keerthana / Lombaerts, Thomas et al. | TIBKAT | 2022


    Vision-Based Precision Approach and Landing for Advanced Air Mobility

    Evan Kawamura / Keerthana Kannan / Thomas Lombaerts et al. | NTRS


    VSLAM and Vision-based Approach and Landing for Advanced Air Mobility

    Kawamura, Evan / Dolph, Chester / Kannan, Keerthana et al. | AIAA | 2023


    VSLAM and Vision-based Approach and Landing for Advanced Air Mobility

    Evan Kawamura / Chester Dolph / Keerthana Kannan et al. | NTRS