This paper presents OpenREALM, a real-time mapping framework for Unmanned Aerial Vehicles (UAVs). A camera attached to the onboard computer of a moving UAV is utilized to acquire high resolution image mosaics of a targeted area of interest. Different modes of operation allow OpenREALM to perform simple stitching assuming an approximate plane ground, or to fully recover complex 3D surface information to extract both elevation maps and geometrically corrected orthophotos. Additionally, the global position of the UAV is used to georeference the data. In all modes incremental progress of the resulting map can be viewed live by an operator on the ground. Obtained, up-to-date surface information will be a push forward to a variety of UAV applications. For the benefit of the community, source code is public at https://github.com/laxnpander/OpenREALM.


    Access

    Check access

    Check availability in my library

    Order at Subito €


    Export, share and cite



    Title :

    OpenREALM: Real-time Mapping for Unmanned Aerial Vehicles


    Contributors:


    Publication date :

    2020-09-01


    Size :

    4910708 byte





    Type of media :

    Conference paper


    Type of material :

    Electronic Resource


    Language :

    English



    Real-Time Mapping for Teleoperation Systems in VR of Unmanned Aerial Vehicles

    Ramirez, German / Verdin, Rodolfo / Flores, Gerardo | IEEE | 2024


    Autonomous Aerial Mapping Using a Swarm of Unmanned Aerial Vehicles

    Alsayed, Ahmad / Nabawy, Mostafa R. / Arvin, Farshad | AIAA | 2022


    Inclined Image Recognition for Aerial Mapping by Unmanned Aerial Vehicles

    Attamimi, Muhammad / Mardiyanto, Ronny / Irfansyah, Astria Nur | IEEE | 2018


    Rapid aerial mapping with multiple heterogeneous unmanned vehicles

    Santamaria, E. / Segor, Florian / Tchouchenkov, Igor | DataCite | 2013


    Real-time visual object tracking for unmanned aerial vehicles (UAVs)

    GAO YU / WANG XING / MA RUI et al. | European Patent Office | 2023

    Free access