Methods and apparatus for real time machine vision and point-cloud data analysis are provided, for remote sensing and vehicle control. Point cloud data can be analyzed via scalable, centralized, cloud computing systems for extraction of asset information and generation of semantic maps. A data storage / preprocessor (1220) subdivides a data set for streaming to a distributed processing unit (1240) and operation via data analysis mechanisms (1250). The output of the processing unit (1240) is aggregated by a map generator (1230). Machine learning components can optimize data analysis mechanisms to improve asset and feature extraction from sensor data. Optimized data analysis mechanisms can be downloaded to vehicles for use in on-board systems analyzing vehicle sensor data. Semantic map data can be used locally in vehicles, along with onboard sensors, to derive precise vehicle localization and provide input to vehicle to control systems.


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    Title :

    REAL TIME MACHINE VISION AND POINT-CLOUD ANALYSIS FOR REMOTE SENSING AND VEHICLE CONTROL


    Additional title:

    ECHTZEITMASCHINENVISION UND PUNKTWOLKENANALYSE ZUR ENTFERNTEN MESSUNG UND FAHRZEUGSTEUERUNG
    VISION INDUSTRIELLE ET ANALYSE DE NUAGE DE POINTS EN TEMPS RÉEL POUR LA TÉLÉDÉTECTION ET LA COMMANDE DE VÉHICULE


    Contributors:

    Publication date :

    2018-12-05


    Type of media :

    Patent


    Type of material :

    Electronic Resource


    Language :

    English


    Classification :

    IPC:    B61L Leiten des Eisenbahnverkehrs , GUIDING RAILWAY TRAFFIC



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