MORAL-a Vision-Based object recognition system for autonomous mobile systems

Stefan Lanser, Christoph Zierl, Olaf Munkelt, Bernd Radig

Publikation: Beitrag in Buch/Bericht/KonferenzbandKonferenzbeitragBegutachtung

5 Zitate (Scopus)

Abstract

One of the fundamental requirements for an autonomous mobile system (AMS) is the ability to navigate within an à priori known environment and to recognize task-specific objects, i.e., to identify these objects and to compute their 3D pose relative to the AMS. For the accomplishment of these tasks the AMS has to survey its environment by using appropriate sensors. This contribution presents the vision-based 3D object recognition system MORAL1, which performs a model-based interpretation of single video images of a CCD camera. Using appropriate parameters, the system can be adapted dynamically to different tasks. The communication with the AMS is realized transparently using remote procedure calls. As a whole this architecture enables a high level of flexibility with regard to the used hardware (computer, camera) as well as to the objects to be recognized.

OriginalspracheEnglisch
TitelComputer Analysis of Images and Patterns - 7th International Conference, CAIP 1997, Proceedings
Redakteure/-innenGerald Sommer, Kostas Daniilidis, Josef Pauli
Herausgeber (Verlag)Springer Verlag
Seiten33-41
Seitenumfang9
ISBN (Print)3540634606, 9783540634607
DOIs
PublikationsstatusVeröffentlicht - 1997
Veranstaltung7th International Conference on Computer Analysis of Images and Patterns, CAIP 1997 - Kiel, Deutschland
Dauer: 10 Sept. 199712 Sept. 1997

Publikationsreihe

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Band1296
ISSN (Print)0302-9743
ISSN (elektronisch)1611-3349

Konferenz

Konferenz7th International Conference on Computer Analysis of Images and Patterns, CAIP 1997
Land/GebietDeutschland
OrtKiel
Zeitraum10/09/9712/09/97

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