The QUAD-AV Project: multi-sensory approach for obstacle detection in agricultural autonomous robotics (Contributo in atti di convegno)

Type

• Prodotto della ricerca (Classe)
• Contributo in atti di convegno (Classe)

Label

• The QUAD-AV Project: multi-sensory approach for obstacle detection in agricultural autonomous robotics (Contributo in atti di convegno) (literal)

Anno

• 2012-01-01T00:00:00+01:00 (literal)

Alternative label

• Rouveure R; Nielsen M; Petersen A; Reina G; Foglia M; Worst R; Seyed-Sadri S; Blas M; Faure P; Milella A; Lykkegård K (2012)
  The QUAD-AV Project: multi-sensory approach for obstacle detection in agricultural autonomous robotics
  in INTERNATIONAL CONFERENCE OF AGRICULTURAL ENGINEERING, CIGR-AgEng2012, VALENCIA, 8-12 JULY
  (literal)

Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#autori

• Rouveure R; Nielsen M; Petersen A; Reina G; Foglia M; Worst R; Seyed-Sadri S; Blas M; Faure P; Milella A; Lykkegård K (literal)

Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#titoloVolume

• Proc. of the INTERNATIONAL CONFERENCE OF AGRICULTURAL ENGINEERING, CIGR-AgEng2012 (literal)

Note

• Google Scholar (literal)

Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#affiliazioni

• Cemagref TSCF, 24 avenue des Landais, BP 50085, 63172 Aubière, France; Danish Technological Institute, Forskerparken 10, 5230 Odense, Denmark; University of Salento, Via Arnesano, 73100 Lecce, Italy; Politecnico di Bari, Viale Japigia 128, 70125 Bari, Italy; Fraunhofer IAIS, Schloss Birlinghoven, 53754 Sankt Augustin, Germany; CLAAS Agrosystems, Bøgeskovvej 6, 3490 Kvistgaard, Denmark; CNR-ISSIA, via Amendola 122/D, 70125 Bari, Italy; CLAAS Agrosystems, Bøgeskovvej 6, 3490 Kvistgaard, Denmark (literal)

Titolo

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

Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#isbn

• 978-84-615-9928-8 (literal)

Abstract

• 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. (literal)

Prodotto di

• Institute of intelligent systems for automation (ISSIA) (Istituto)
• Sistemi Intelligenti per la sicurezza (SP.P06.004.001) (Modulo)

Autore CNR

• ANNALISA MILELLA (Persona)

Insieme di parole chiave

• Parole chiave di "The QUAD-AV Project: multi-sensory approach for obstacle detection in agricultural autonomous robotics" (Insieme di parole chiave)

Incoming links:

Prodotto

• Institute of intelligent systems for automation (ISSIA) (Istituto)
• Sistemi Intelligenti per la sicurezza (SP.P06.004.001) (Modulo)

Autore CNR di

• ANNALISA MILELLA (Persona)

Insieme di parole chiave di

• Parole chiave di "The QUAD-AV Project: multi-sensory approach for obstacle detection in agricultural autonomous robotics" (Insieme di parole chiave)