The QUAD-AV Project: Multi-sensory approach for obstacle detection in agricultural autonomous robotics
| Autor: | Rouveure, R., Nielsen, M., Petersen, Arthur, Reina, G., Foglia, M., Worst, R., Seyed-Sadri, S., Blas, M., Faure, P., Milella, A., Lykkegård, K. |
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| Přispěvatelé: | Technologies et systèmes d'information pour les agrosystèmes (UR TSCF), Institut national de recherche en sciences et technologies pour l'environnement et l'agriculture (IRSTEA), DANISH TECHNOLOGICAL INSTITUTE ODENSE DENMARK, Partenaires IRSTEA, Institut national de recherche en sciences et technologies pour l'environnement et l'agriculture (IRSTEA)-Institut national de recherche en sciences et technologies pour l'environnement et l'agriculture (IRSTEA), UNIVERSITY OF SALENTO ITA, POLITECNICO DI BARI ITALY, NATIONAL RESEARCH COUNCIL CNR BARI ITA, FRAUNHOFER INSTITUTE DEU, CLAAS AGROSYSTEMS DENMARK, Irstea Publications, Migration, Commission Internationale du Genie Rural, R., Rouveure, M., Nielsen, A., Petersen, Reina, Giulio, M., Foglia, R., Worst, Samiseyed, Sadri, M. R., Bla, P., Faure, A., Milella, K., Lykkegård |
| Jazyk: | angličtina |
| Rok vydání: | 2012 |
| Předmět: | |
| Zdroj: | The International Conference of Agricultural Engineering CGR-AgEng The International Conference of Agricultural Engineering CGR-AgEng, Jul 2012, Valencia, Spain. pp.1-6 INTERNATIONAL CONFERENCE OF AGRICULTURAL ENGINEERING, CIGR-AgEng2012, VALENCIA, 8-12 JULY info:cnr-pdr/source/autori:Rouveure R; Nielsen M; Petersen A; Reina G; Foglia M; Worst R; Seyed-Sadri S; Blas M; Faure P; Milella A; Lykkegård K/congresso_nome:INTERNATIONAL CONFERENCE OF AGRICULTURAL ENGINEERING, CIGR-AgEng2012/congresso_luogo:VALENCIA/congresso_data:8-12 JULY/anno:2012/pagina_da:/pagina_a:/intervallo_pagine |
| Popis: | International audience; 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/stereovision, thermography, ladar, microwave radar) through the presentation of preliminary results. |
| Databáze: | OpenAIRE |
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