More autonomous flying platforms will have to rely on on-board image processing performed in real time due more sophisticated applications like more autonomous landing or collision sensing, object detection, recognition and identification. This work is an effort to investigate whether modern COTS multicore embedded computers are suitable to perform state-of-the-art image processing applications, such as object recognition, on-board an aircraft. This paper presents requirements of avionics, challenges of implementing such algorithms, the characteristics of possible hardware platforms, and their programing model considerations that influence the performance of such applications. The paper presents an experimental implementation of core algorithm blocks on multicore platforms from Freescale. It shows that modern multi-core processors still need a performance boost for demanding real-time image processing.


    Access

    Check access

    Check availability in my library

    Order at Subito €


    Export, share and cite



    Title :

    Image processing in airborne applications using multicore embedded computers


    Contributors:


    Publication date :

    2013-10-01


    Size :

    1528430 byte





    Type of media :

    Conference paper


    Type of material :

    Electronic Resource


    Language :

    English



    Image processing in airborne applications using multicore embedded computers

    Sanchez, Carlos / Nowotsch, Jan / Paulitsch, Michael et al. | IEEE | 2013


    Airborne computers take off

    Rowe, J. | Tema Archive | 1990


    Parallelization and Porting of Multiple ADAS Applications on Embedded Multicore Platforms

    Ranadive, Priti / Kareti, Venkatesh / Vaidya, Vinay | SAE Technical Papers | 2015


    Future trends of airborne computers

    SCHMITT, A. | AIAA | 1972


    Image processing method for multicore fiber geometric parameters

    Zhang, Chuanbiao / Ning, Tigang / Li, Jing et al. | British Library Online Contents | 2016