elib
DLR-Header
DLR-Logo -> http://www.dlr.de
DLR Portal Home | Impressum | Datenschutz | Kontakt | English
Schriftgröße: [-] Text [+]

Object recognition in flight: how do Bees distinguish between 3D shapes?

Werner, Annette und Stürzl, Wolfgang und Zanker, Johannes (2016) Object recognition in flight: how do Bees distinguish between 3D shapes? PLoS One, 11 (2), e0147106. Public Library of Science (PLoS). doi: 10.1371/journal.pone.0147106. ISSN 1932-6203.

[img] PDF
5MB

Kurzfassung

Honeybees (Apis mellifera) discriminate multiple object features such as colour, pattern and 2D shape, but it remains unknown whether and how bees recover three-dimensional shape. Here we show that bees can recognize objects by their three-dimensional form, whereby they employ an active strategy to uncover the depth profiles. We trained individual, free flying honeybees to collect sugar water from small three-dimensional objects made of styrofoam (sphere, cylinder, cuboids) or folded paper (convex, concave, planar) and found that bees can easily discriminate between these stimuli. We also tested possible strategies employed by the bees to uncover the depth profiles. For the card stimuli, we excluded overall shape and pictorial features (shading, texture gradients) as cues for discrimination. Lacking sufficient stereo vision, bees are known to use speed gradients in optic flow to detect edges; could the bees apply this strategy also to recover the fine details of a surface depth profile? Analysing the bees’ flight tracks in front of the stimuli revealed specific combinations of flight maneuvers (lateral translations in combination with yaw rotations), which are particularly suitable to extract depth cues from motion parallax. We modelled the generated optic flow and found characteristic patterns of angular displacement corresponding to the depth profiles of our stimuli: optic flow patterns from pure translations successfully recovered depth relations from the magnitude of angular displacements, additional rotation provided robust depth information based on the direction of the displacements; thus, the bees flight maneuvers may reflect an optimized visuo-motor strategy to extract depth structure from motion signals. The robustness and simplicity of this strategy offers an efficient solution for 3D-object-recognition without stereo vision, and could be employed by other flying insects, or mobile robots.

elib-URL des Eintrags:https://elib.dlr.de/109322/
Dokumentart:Zeitschriftenbeitrag
Titel:Object recognition in flight: how do Bees distinguish between 3D shapes?
Autoren:
AutorenInstitution oder E-Mail-AdresseAutoren-ORCID-iDORCID Put Code
Werner, Annetteannette.werner (at) uni-tuebingen.deNICHT SPEZIFIZIERTNICHT SPEZIFIZIERT
Stürzl, Wolfgangwolfgang.stuerzl (at) dlr.deNICHT SPEZIFIZIERTNICHT SPEZIFIZIERT
Zanker, Johannesj.zanker (at) rhul.ac.ukNICHT SPEZIFIZIERTNICHT SPEZIFIZIERT
Datum:2016
Erschienen in:PLoS One
Referierte Publikation:Ja
Open Access:Ja
Gold Open Access:Ja
In SCOPUS:Ja
In ISI Web of Science:Ja
Band:11
DOI:10.1371/journal.pone.0147106
Seitenbereich:e0147106
Verlag:Public Library of Science (PLoS)
ISSN:1932-6203
Status:veröffentlicht
Stichwörter:flying insects, bees, 3D shape, object recognition
HGF - Forschungsbereich:Luftfahrt, Raumfahrt und Verkehr
HGF - Programm:Raumfahrt
HGF - Programmthema:Technik für Raumfahrtsysteme
DLR - Schwerpunkt:Raumfahrt
DLR - Forschungsgebiet:R SY - Technik für Raumfahrtsysteme
DLR - Teilgebiet (Projekt, Vorhaben):R - Vorhaben Multisensorielle Weltmodellierung (alt)
Standort: Oberpfaffenhofen
Institute & Einrichtungen:Institut für Robotik und Mechatronik (ab 2013)
Hinterlegt von: Stürzl, Wolfgang
Hinterlegt am:20 Dez 2016 11:00
Letzte Änderung:22 Jun 2023 10:25

Nur für Mitarbeiter des Archivs: Kontrollseite des Eintrags

Blättern
Suchen
Hilfe & Kontakt
Informationen
electronic library verwendet EPrints 3.3.12
Gestaltung Webseite und Datenbank: Copyright © Deutsches Zentrum für Luft- und Raumfahrt (DLR). Alle Rechte vorbehalten.