This research is a part of NASA's Synthetic Vision System (SVS) project for the development of a High Speed Civil Transport Aircraft (HSCT). One of the components of the SVS is a module for detection of potential obstacles in the aircraft's flight path by analyzing the images captured by an on-board camera in real-time. Design of such a module includes the selection and characterization of robust, reliable, and fast techniques and their implementation for execution in real-time. This report describes the results of our research in realizing such a design. It is organized into three parts: Part I. Data modeling and camera characterization; Part II. Algorithms for detecting airborne obstacles; and Part III. Real time implementation of obstacle detection algorithms on the Datacube MaxPCI architecture. A list of publications resulting from this grant as well as a list of relevant publications resulting from prior NASA grants on this topic are presented.


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    Title :

    Obstacle Detection Algorithms for Aircraft Navigation: Performance Characterization of Obstacle Detection Algorithms for Aircraft Navigation


    Contributors:
    R. Kasturi (author) / O. Camps (author) / L. Coraor (author)

    Publication date :

    2000


    Size :

    221 pages


    Type of media :

    Report


    Type of material :

    No indication


    Language :

    English





    Performance Characterization of Obstacle Detection Algorithms for Aircraft Navigation

    Kasturi, Rangachar / Camps, Octavia / Coraor, Lee et al. | NTRS | 2000


    Obstacle Detection Algorithms for Rotorcraft Navigation

    Kasturi, Rangachar / Camps, Octavia I. / Huang, Ying et al. | NTRS | 2001


    Obstacle Detection Algorithms for Rotorcraft Navigation

    R. Kasturi / O. I. Camps / Y. Huang et al. | NTIS | 2001


    Obstacle detection algorithms for rotorcraft navigation [4713-10]

    Pande, N. / Huang, Y. / Narasimhamurthy, A. et al. | British Library Conference Proceedings | 2002