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Robust Feature Correspondences for Vision-Based Navigation with Slow Frame-Rate Cameras.

Burschka, Darius (2006) Robust Feature Correspondences for Vision-Based Navigation with Slow Frame-Rate Cameras. In: Proceedings, pp. 947-952. IEEE/RSJ International Conference on Intelligent Robots and Systems. IROS, RSJ International Conference on Intelligent Robots and Systems, 2006-10-09 - 2006-10-15, Beijing, China.

Full text not available from this repository.

Abstract

We propose a vision-based inertial system that overcomes the problems associated with slow update rates in navigation systems based on high-resolution cameras. Due to bandwidth limitations in current camera interfaces, like Firewire or USB, an increase in the camera resolution results in a drop of the effective frame-rate from the sensor. This increases the correspondence problem for point features in consecutive images due to significant motion of the features. We solve the correspondence problem for very significant motion of point features between consecutive images by analyzing the motion blur to estimate the current motion parameters. The proposed algorithm can be used to track the position of point features in video images originating from slow frame-rate cameras. The system is validated on real images from a camera moved by a mobile system, but it can be used for any type of motion ranging from flying systems to mobile robots operating in outdoor or indoor environments.

Document Type:Conference or Workshop Item (Paper)
Title:Robust Feature Correspondences for Vision-Based Navigation with Slow Frame-Rate Cameras.
Authors:
AuthorsInstitution or Email of Authors
Burschka, DariusUNSPECIFIED
Date:9 October 2006
Journal or Publication Title:Proceedings
Refereed publication:Yes
In ISI Web of Science:No
Page Range:pp. 947-952
Publisher:IEEE/RSJ International Conference on Intelligent Robots and Systems
Status:Published
Keywords:Vision-Based Navigation, Slow Frame-Rate Cameras
Event Title:IROS, RSJ International Conference on Intelligent Robots and Systems
Event Location:Beijing, China
Event Type:international Conference
Event Dates:2006-10-09 - 2006-10-15
Organizer:IEEE
HGF - Research field:Aeronautics, Space and Transport (old)
HGF - Program:Space (old)
HGF - Program Themes:W SY - Technik für Raumfahrtsysteme
DLR - Research area:Space
DLR - Program:W SY - Technik für Raumfahrtsysteme
DLR - Research theme (Project):W - Weiterentwicklung Robotik - Mechatronik und Dynamik (old)
Location: Oberpfaffenhofen
Institutes and Institutions:Institute of Robotics and Mechatronics > Robotic Systems
Deposited By: Gabriele Beinhofer
Deposited On:31 Aug 2007
Last Modified:27 Apr 2009 13:15

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