Pilot aiding during low-altitude flight depends on the ability to detect and locate obstacles near the helicopter's intended flightpath. Computer-vision-based methods provide one general approach for obstacle detection and range estimation. Several algorithms have been developed for this purpose, but have not been tested with actual flight data. This paper presents results obtained using helicopter flight data with a feature-based range estimation algorithm. A method for recursively estimating range using a Kalman filter with a monocular sequence of images and knowledge of the camera's motion is described. The helicopter flight experiment and four resulting datasets are discussed. Finally the performance of the range estimation algorithm is explored in detail based on comparison of the range estimates with true range measurements collected during the flight experiment.


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    Title :

    Vision-based range estimation using helicopter flight data


    Contributors:

    Publication date :

    1992-06-01


    Type of media :

    Report


    Type of material :

    No indication


    Language :

    English




    Vision-based range estimation using helicopter flight data

    Smith, Phillip N. / Sridhar, Banavar / Hussien, Bassam | NTRS | 1992


    Vision-Based Range Estimation Using Helicopter Flight Data

    P. N. Smith / B. Sridhar / B. Hussien | NTIS | 1992


    Vision-based range estimation using helicopter flight data

    Smith, Phillip N. / Sridhar, Banavar / Hussein, Bassam | NTRS | 1992


    Validation of Vision-Based Range Estimation Algorithms Using Helicopter Flight Data

    Smith, P. N. / United States / National Aeronautics and Space Administration | British Library Conference Proceedings | 1994