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Integrating a computational model and a run time system for image processing on a UAV

Andersson, Per LU ; Kuchcinski, Krzysztof LU ; Nordberg, K and Doherty, P (2002) Proceedings Euromicro Symposium on Digital System Design. DSD'2002 In Proceedings Euromicro Symposium on Digital System Design. Architectures, Methods and Tools p.102-109
Abstract
Recently substantial research has been devoted to Unmanned Aerial Vehicles (UAVs). One of a UAV's most demanding subsystem is vision. The vision subsystem must dynamically combine different algorithms as the UAVs goal and surrounding change. To fully utilize the available hardware, a run time system must be able to vary the quality and the size of regions the algorithms are applied to, as the number of image processing tasks changes. To allow this the run time system and the underlying computational model must be integrated. In this paper we present a computational model suitable for integration with a run time system. The computational model is called Image Processing Data Flow Graph (IP-DFG). IP-DFG has been developed for modeling of... (More)
Recently substantial research has been devoted to Unmanned Aerial Vehicles (UAVs). One of a UAV's most demanding subsystem is vision. The vision subsystem must dynamically combine different algorithms as the UAVs goal and surrounding change. To fully utilize the available hardware, a run time system must be able to vary the quality and the size of regions the algorithms are applied to, as the number of image processing tasks changes. To allow this the run time system and the underlying computational model must be integrated. In this paper we present a computational model suitable for integration with a run time system. The computational model is called Image Processing Data Flow Graph (IP-DFG). IP-DFG has been developed for modeling of complex image processing algorithms. IP-DFG is based on data flow graphs, but has been extended with hierarchy and new rules for token consumption, which makes the computational model more flexible and more suitable for human interaction. In this paper we also show that IP-DFGs are suitable for modelling expressions, including data dependent decisions and iterations, which are common in complex image processing algorithms (Less)
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author
organization
publishing date
type
Chapter in Book/Report/Conference proceeding
publication status
published
subject
keywords
human interaction, IP-DFG, image processing data flow graph, vision subsystem, unmanned aerial vehicles, computational model, run time system, data dependent decisions, complex image processing algorithms
in
Proceedings Euromicro Symposium on Digital System Design. Architectures, Methods and Tools
pages
8 pages
publisher
IEEE--Institute of Electrical and Electronics Engineers Inc.
conference name
Proceedings Euromicro Symposium on Digital System Design. DSD'2002
external identifiers
  • WOS:000178310200014
  • Scopus:84949659194
ISBN
0-7695-1790-0
DOI
10.1109/DSD.2002.1115357
language
English
LU publication?
yes
id
804f6054-94b8-4bab-b93c-c851b0056f9a (old id 610742)
date added to LUP
2007-11-23 14:22:36
date last changed
2017-02-19 04:28:11
@inproceedings{804f6054-94b8-4bab-b93c-c851b0056f9a,
  abstract     = {Recently substantial research has been devoted to Unmanned Aerial Vehicles (UAVs). One of a UAV's most demanding subsystem is vision. The vision subsystem must dynamically combine different algorithms as the UAVs goal and surrounding change. To fully utilize the available hardware, a run time system must be able to vary the quality and the size of regions the algorithms are applied to, as the number of image processing tasks changes. To allow this the run time system and the underlying computational model must be integrated. In this paper we present a computational model suitable for integration with a run time system. The computational model is called Image Processing Data Flow Graph (IP-DFG). IP-DFG has been developed for modeling of complex image processing algorithms. IP-DFG is based on data flow graphs, but has been extended with hierarchy and new rules for token consumption, which makes the computational model more flexible and more suitable for human interaction. In this paper we also show that IP-DFGs are suitable for modelling expressions, including data dependent decisions and iterations, which are common in complex image processing algorithms},
  author       = {Andersson, Per and Kuchcinski, Krzysztof and Nordberg, K and Doherty, P},
  booktitle    = {Proceedings Euromicro Symposium on Digital System Design. Architectures, Methods and Tools},
  isbn         = {0-7695-1790-0},
  keyword      = {human interaction,IP-DFG,image processing data flow graph,vision subsystem,unmanned aerial vehicles,computational model,run time system,data dependent decisions,complex image processing algorithms},
  language     = {eng},
  pages        = {102--109},
  publisher    = {IEEE--Institute of Electrical and Electronics Engineers Inc.},
  title        = {Integrating a computational model and a run time system for image processing on a UAV},
  url          = {http://dx.doi.org/10.1109/DSD.2002.1115357},
  year         = {2002},
}