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

: Rouveure, Raphaël; Nielsen, Michael; Petersen, Anders; Reina, Giulio; Foglia, Mario M.; Worst, Rainer; Seyed-Sadri, Sami; Blas, Morten Rufus; Faure, Patrice; Lykkegård, Kasper

Preprint urn:nbn:de:0011-n-2212368 (456 KByte PDF)
MD5 Fingerprint: 4e2d22712f38510658229c1ca5033fe4
Erstellt am: 9.1.2013

International Commission of Agricultural and Biosystems Engineering -CIGR-:
Agriculture & Engineering for a Healthier Life. International Conference of Agricultural Engineering, CIGR-AgEng2012. Papers book : Valencia 8-12 July 2012
Valencia: CIGR, 2012
ISBN: 978-84-615-9928-8
6 S.
International Conference of Agricultural Engineering (AgEng) <2012, Valencia>
Konferenzbeitrag, Elektronische Publikation
Fraunhofer IAIS ()
robotics, obstacle detection, sensors, fusion

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.