ENGROSS

ENabling GROwing Software Systems

Based on recently accomplished results, this project will work with the following challenges:

• To go beyond current components-based software engineering approaches by supporting integration of systems that have been developed independently of each other, including aspects of legacy, upgrading, timing, states, and resource awareness for embedded systems.
• To embody results in related disciplines, robotics, control, vision, software engineering in handling the physical as well as computerized environment, including recently created mechatronic components that define the current state of the art.
• To integrate and test the advances in a challenging demonstrator, in terms of a grocery-store robot with surrounding IT services and device communications.

The demonstrator with its new enabling technologies defines tangible research goals. The main goal is, however, to develop improved engineering principles for software systems, thereby enabling systems to be combined into larger systems while maintaining the robustness and efficiency. The application area is embedded systems where our established research in robotics, automatic control, vision, and high-level languages will be further developed and utilized for demonstration purposes.

The results on software systems will be generally applicable for large complex software systems, and relevant for other application areas, for example in healthcare. Here, as well in embedded systems, and indeed all areas where software systems are introduced, there is a need to combine systems in ways that they were not originally designed for. Very large systems can not be shut down or replaced; they must be evolved. This is obvious for global systems like the Internet, but also evident for other, continuously running systems.

Advances in software systems research is of great importance for the whole society, since the modern society is built with software systems. In particular is our research, both on systems and in the disciplines, relevant for leading companies in automation (ABB ATP/Robotics/Corporate Research) and telecom (Sony Ericsson and Ericsson MP) with which we have tight cooperation through EU projects and a centre of excellence. Through these and other channels, our focus on the central problems of complex software systems is setup to have an impact on industry; how such systems can be built in order to, at the same time be more flexible, robust and possible to compose in new ways.

Funded by the Swedish Foundation for Strategic Research .
Period: 2009-2011.
Partners: Dept of Computer Science and Dept of Automatic Control

Project publications

Below is a selection of the publications within the project.

Exploratory study of EEG burst characteristics in preterm infants
Simayijiang, Zhayida; Backman, Sofia; Ulén, Johannes; Wikström, Sverre; Åström, Kalle, 2013, Published at: 35th Annual International Conference of the IEEE Engineering in Medicine and Biology Society

Minimal Structure and Motion Problems for TOA and TDOA Measurements with Collinearity Constraints
Ask, Erik; Burgess, Simon; Åström, Kalle, 2013, Published at: 2nd International Conference on Pattern Recognition Applications and Methods, Fulltext:

Segmentation of the Left Heart Ventricle in Ultrasound Images Using a Region Based Snake
Landgren, Matilda; Overgaard, Niels Chr; Heyden, Anders, 2013, Published at: SPIE Medical Imaging, Fulltext:

Single Antenna Anchor-Free UWB Positioning based on Multipath Propagation
Kuang, Yubin; Åström, Kalle; Tufvesson, Fredrik, 2013, Published at: IEEE International Conference on Communications

Bayesian Formulation of Image Patch Matching Using Cross-correlation
Ardö, Håkan; Åström, Kalle, 2012, Published in: Journal of Mathematical Imaging and Vision, Fulltext:

Exploiting p-Fold Symmetries for Faster Polynomial Equation Solving
Ask, Erik; Kuang, Yubin; Åström, Kalle, 2012, Published at: ICPR 2012, Fulltext:

Node Localization in Unsynchronized Time of Arrival Sensor Networks
Burgess, Simon; Kuang, Yubin; Åström, Kalle, 2012, Published at: ICPR 2012, Fulltext:

Numerically Stable Optimization of Polynomial Solvers for Minimal Problems
Kuang, Yubin; Åström, Kalle, 2012, Published at: European Conference on Computer Vision, Fulltext:

Pose Estimation from Minimal Dual-Receiver Configurations
Burgess, Simon; Kuang, Yubin; Åström, Kalle, 2012, Published at: ICPR 2012, Fulltext:

Robust Fitting for Multiple View Geometry
Enqvist, Olof; Ask, Erik; Kahl, Fredrik; Åström, Kalle, 2012, Published at: European Conference on Computer Vision, Fulltext:

Understanding TOA and TDOA Network Calibration using Far Field Approximation as Initial Estimate
Kuang, Yubin; Ask, Erik; Burgess, Simon; Åström, Kalle, 2012, Published at: International Conference on Pattern Recognition Applications and Methods, Fulltext:

An Automated System for the Detection and Diagnosis of Kidney Lesions in Children from Scintigraphy Images
Landgren, Matilda; Sjöstrand, Karl; Ohlsson, Mattias; Ståhl, Daniel; Overgaard, Niels Christian; Åström, Kalle; Sixt, Rune; Edenbrandt, Lars, 2011, Published at: 17th Scandinavian Conference on Image Analysis (SCIA 2011), Fulltext:

Automatic Compartment Modelling and Segmentation for Dynamical Renal Scintigraphies
Ståhl, Daniel; Åström, Kalle; Overgaard, Niels Christian; Landgren, Matilda; Sjöstrand, Karl; Edenbrandt, Lars, 2011, Published at: 17th Scandinavian Conference on Image Analysis (SCIA 2011), Fulltext:

Supervised Feature Quantization with Entropy Optimization
Kuang, Yubin; Byröd, Martin; Åström, Kalle, 2011, Published at: IEEE Workshop on Information Theory in Computer Vision and Pattern Recognition, Fulltext:

Conjugate Gradient Bundle Adjustment
Byröd, Martin; Åström, Kalle, 2010, Published at: European Conference on Computer Vision, Fulltext:

Optimizing Visual Vocabularies Using Soft Assignment Entropies
Kuang, Yubin; Åström, Kalle; Kopp, Lars; Oskarsson, Magnus; Byröd, Martin, 2010, Published at: Asian Conference on Computer Vision, Fulltext:

Bundle Adjustment using Conjugate Gradients with Multiscale Preconditioning
Byröd, Martin; Åström, Kalle, 2009, Published at: ], in Proc. The 20th British Machine Vision Conference

Fast and Stable Polynomial Equation Solving and Its Application to Computer Vision
Byröd, Martin; Josephson, Klas; Åström, Kalle, 2009, Published in: International Journal of Computer Vision, Fulltext: