Autonomous vehicles are being increasingly adopted in agriculture to improve productivity and efficiency. For an autonomous agricultural vehicle to operate safely, environment perception and interpretation capabilities are fundamental requirements. The Ambient Awareness for Autonomous Agricultural Vehicles (QUAD-AV) project explores a multisensory approach to provide an autonomous agricultural vehicle with such ambient awareness. The proposed methods and systems will aim at increasing the overall level of safety of an autonomous agricultural vehicle with respect to itself, to people and animals as well as to property. The obstacle detection problem is specifically addressed within the QUAD-AV project. The paper focuses on the presentation of the different selected technologies (vision/s tereovision, thermography,ladar, microwave radar) through the presentation of preliminary results.


    Access

    Download


    Export, share and cite



    Title :

    The QUAD-AV Project: multi-sensory approach for obstacle detection in agricultural autonomous robotics



    Publication date :

    2012-01-01


    Remarks:

    Fraunhofer IAIS


    Type of media :

    Conference paper


    Type of material :

    Electronic Resource


    Language :

    English



    Classification :

    DDC:    629





    The Use of Direction Matrix to Determine Autonomous Quad-Copter Drone Path when Facing Obstacle

    Husodo, Ario Yudo / Wisesa, Hanif Arief / Jatmiko, Wisnu | IEEE | 2019


    Obstacle detection for agricultural machinery

    Bergmair, M. / Thim, H.W. / Diskus, C.G. et al. | Tema Archive | 2001


    Obstacle-avoiding intelligent algorithm for quad wheel robot path navigation

    Mukherjee, Subhradip / Kumar, R. / Borah, Siddhanta | Emerald Group Publishing | 2020