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Related Experiment Video

Updated: Jun 8, 2026

Multimodal Volumetric Retinal Imaging by Oblique Scanning Laser Ophthalmoscopy (oSLO) and Optical Coherence Tomography (OCT)
12:22

Multimodal Volumetric Retinal Imaging by Oblique Scanning Laser Ophthalmoscopy (oSLO) and Optical Coherence Tomography (OCT)

Published on: August 4, 2018

Optical processing for semiautonomous terminal navigation and docking.

M S Scholl

    Applied Optics
    |September 22, 2010
    PubMed
    Summary
    This summary is machine-generated.

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    An optical cross correlator aids spacecraft navigation by recognizing landing marks. This technology provides crucial data for autonomous docking maneuvers, enhancing mission safety and success.

    Area of Science:

    • Optics
    • Robotics
    • Aerospace Engineering

    Background:

    • Autonomous vehicles require robust navigation systems for critical maneuvers like docking.
    • Pattern recognition is a key component in enabling semiautonomous functions such as landing and docking.
    • Optical processing offers potential advantages in speed and efficiency for real-time navigation tasks.

    Purpose of the Study:

    • To evaluate the efficacy of an optical cross correlator for single-object recognition in spacecraft terminal homing.
    • To demonstrate the integration of an optical cross correlator with standard star tracker software for navigation.
    • To assess the system's capability in supporting autonomous docking maneuvers on a simulated space station.

    Main Methods:

    • An optical cross correlator was employed for pattern recognition of a predesignated landing mark.

    Related Experiment Videos

    Last Updated: Jun 8, 2026

    Multimodal Volumetric Retinal Imaging by Oblique Scanning Laser Ophthalmoscopy (oSLO) and Optical Coherence Tomography (OCT)
    12:22

    Multimodal Volumetric Retinal Imaging by Oblique Scanning Laser Ophthalmoscopy (oSLO) and Optical Coherence Tomography (OCT)

    Published on: August 4, 2018

  • Video input from a simple imaging system was fed into the optical cross correlator.
  • The output correlation plane data was processed using standard star tracker software.

    • Main Results:

    • The optical cross correlator successfully recognized the target object, providing essential navigation information.
    • The integrated system generated sufficient data for a spacecraft's terminal homing navigation.
    • The system demonstrated its applicability in a simulated space station landing scenario.

    Conclusions:

    • Optical cross correlators are suitable for single-vision functions like pattern recognition in semiautonomous navigation.
    • The described system can provide the necessary information for spacecraft docking maneuvers.
    • This approach offers a viable solution for enhancing spacecraft terminal homing navigation.