VIP - A Framework-Based Approach to Robot Vision

For robot perception, video cameras are very valuable sensors, but the computer vision methods applied to extract information from camera images are usually computationally expensive. Integrating computer vision methods into a robot control architecture requires to balance exploitation of camera ima...

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Bibliographic Details
Main Authors: Gerd Mayer, Ulrich Kaufmann, Hans Utz, Gerhard K. Kraetzschmar
Format: Article
Language:English
Published: SAGE Publishing 2008-11-01
Series:International Journal of Advanced Robotic Systems
Subjects:
Online Access:http://www.intechopen.com/articles/show/title/vip_-_a_framework-based_approach_to_robot_vision
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author Gerd Mayer
Ulrich Kaufmann
Hans Utz
Gerhard K. Kraetzschmar
author_facet Gerd Mayer
Ulrich Kaufmann
Hans Utz
Gerhard K. Kraetzschmar
author_sort Gerd Mayer
collection DOAJ
description For robot perception, video cameras are very valuable sensors, but the computer vision methods applied to extract information from camera images are usually computationally expensive. Integrating computer vision methods into a robot control architecture requires to balance exploitation of camera images with the need to preserve reactivity and robustness. We claim that better software support is needed in order to facilitate and simplify the application of computer vision and image processing methods on autonomous mobile robots. In particular, such support must address a simplified specification of image processing architectures, control and synchronization issues of image processing steps, and the integration of the image processing machinery into the overall robot control architecture. This paper introduces the video image processing (VIP) framework, a software framework for multithreaded control flow modeling in robot vision.
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spelling doaj.art-0c6f48e893de4d8c8518c068daa9b3852022-12-22T03:18:31ZengSAGE PublishingInternational Journal of Advanced Robotic Systems1729-88061729-88142008-11-0131VIP - A Framework-Based Approach to Robot VisionGerd MayerUlrich KaufmannHans UtzGerhard K. KraetzschmarFor robot perception, video cameras are very valuable sensors, but the computer vision methods applied to extract information from camera images are usually computationally expensive. Integrating computer vision methods into a robot control architecture requires to balance exploitation of camera images with the need to preserve reactivity and robustness. We claim that better software support is needed in order to facilitate and simplify the application of computer vision and image processing methods on autonomous mobile robots. In particular, such support must address a simplified specification of image processing architectures, control and synchronization issues of image processing steps, and the integration of the image processing machinery into the overall robot control architecture. This paper introduces the video image processing (VIP) framework, a software framework for multithreaded control flow modeling in robot vision.http://www.intechopen.com/articles/show/title/vip_-_a_framework-based_approach_to_robot_visionrobot visionrobot middlewarereal-time support for computer visionresource adaptivity
spellingShingle Gerd Mayer
Ulrich Kaufmann
Hans Utz
Gerhard K. Kraetzschmar
VIP - A Framework-Based Approach to Robot Vision
International Journal of Advanced Robotic Systems
robot vision
robot middleware
real-time support for computer vision
resource adaptivity
title VIP - A Framework-Based Approach to Robot Vision
title_full VIP - A Framework-Based Approach to Robot Vision
title_fullStr VIP - A Framework-Based Approach to Robot Vision
title_full_unstemmed VIP - A Framework-Based Approach to Robot Vision
title_short VIP - A Framework-Based Approach to Robot Vision
title_sort vip a framework based approach to robot vision
topic robot vision
robot middleware
real-time support for computer vision
resource adaptivity
url http://www.intechopen.com/articles/show/title/vip_-_a_framework-based_approach_to_robot_vision
work_keys_str_mv AT gerdmayer vipaframeworkbasedapproachtorobotvision
AT ulrichkaufmann vipaframeworkbasedapproachtorobotvision
AT hansutz vipaframeworkbasedapproachtorobotvision
AT gerhardkkraetzschmar vipaframeworkbasedapproachtorobotvision