Deploying an autonomous unmanned aerial vehicle in GPS-denied areas is a highly discussed problem in the scientific community. There are several approaches being developed, but the main strategies yet considered are computer vision based navigation systems. This work presents a new real-time computer-vision position estimator for UAV navigation. The estimator uses images captured during flight to recognize specific, well-known, landmarks in order to estimate the latitude and longitude of the aircraft. The method was tested in a simulated environment, using a dataset of real aerial images obtained in previous flights, with synchronized images, GPS and IMU data. The estimated position in each landmark recognition was compatible with the GPS data, stating that the developed method can be used as an alternative navigation system.


    Access

    Download


    Export, share and cite



    Title :

    UAV VISUAL AUTOLOCALIZATON BASED ON AUTOMATIC LANDMARK RECOGNITION


    Contributors:


    Publication date :

    2017




    Type of media :

    Article (Journal)


    Type of material :

    Electronic Resource


    Language :

    Unknown





    Qualitative landmark recognition using visual cues

    Poovendran, R. / Speigle, S. / Srinivasan, S. et al. | Tema Archive | 1997


    Visual landmark recognition from Internet photo collections: A large-scale evaluation

    Weyand, T. / Leibe, B. | British Library Online Contents | 2015


    LANDMARK RECOGNITION DEVICE AND RECOGNITION METHOD

    KANEKO ALEX MASUO / YAMAMOTO KENJIRO | European Patent Office | 2017

    Free access

    Visual synonyms for landmark image retrieval

    Gavves, E. / Snoek, C. G. / Smeulders, A. W. | British Library Online Contents | 2012