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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.

A Complete Characterization and Solution to the Microphone Position Self-Calibration Problem
Kuang, Yubin; Burgess, Simon; Torstensson, Anna; Åström, Kalle, 2013, Published at: The 38th International Conference on Acoustics, Speech, and Signal Processing, Fulltext: PDF

A Unifying Approach to Minimal Problems in Collinear and Planar TDOA Sensor Network Self-Calibration
Ask, Erik; Kuang, Yubin; Åström, Kalle, 2014, Published at: European Signal Processing Conference (EUSIPCO 2014), Fulltext: PDF

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: PDF

An Automatic System for Microphone Self-Localization Using Ambient Sound
Simayijiang, Zhayida; Andersson, Fredrik; Kuang, Yubin; Åström, Kalle, 2014, Published at: European Signal Processing Conference (Eusipco 2014), Fulltext: PDF

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: PDF

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

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

Combining Text Semantics and Image Geometry to Improve Scene Interpretation
Medved, Dennis; Jiang, Fangyuan; Exner, Peter; Oskarsson, Magnus; Nugues, Pierre; Åström, Kalle, 2014, Published at: International Conference on Pattern Recognition Applications and Methods, Fulltext: PDF

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

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

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, Fulltext: PDF

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: PDF

Image Segmentation and Labeling Using Free-form Semantic Annotation
Tegen, Agnes; Weegar, Rebecka; Hammarlund, Linus; Oskarsson, Magnus; Jiang, Fangyuan; Medved, Dennis; Nugues, Pierre; Åström, Kalle, 2014, Published at: International Conference on Pattern Recognition, Fulltext: PDF

Improved Object Detection and Pose Using Part-Based Models
Jiang, Fangyuan; Enqvist, Olof; Kahl, Fredrik; Åström, Kalle, 2013, Published at: Scandinavian Conference on Image Analysis

Minimal Solutions for Dual Microphone Rig Self-Calibration
Zhayida, Simayijiang; Burgess, Simon; Kuang, Yubin; Åström, Kalle, 2014, Published at: European Signal Processing Conference (EUSIPCO 2014), Fulltext: PDF

Minimal Solvers for Relative Pose with a Single Unknown Radial Distortion
Kuang, Yubin; Solem, Jan Erik; Kahl, Fredrik; Åström, Kalle, 2014, Published at: IEEE Conference on Computer Vision and Pattern Recognition, Fulltext: PDF

Minimal Solvers for Unsynchronized TDOA Sensor Network Calibration
Burgess, Simon; Kuang, Yubin; Wendeberg, Johannes; Åström, Kalle; Schindelhauer, Christian, 2014, Published at: Algorithms for Sensor Systems

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: PDF

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

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

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: PDF

Partial Symmetry in Polynomial Systems and Its Application in Computer Vision
Kuang, Yubin; Zheng, Yinqiang; Åström, Kalle, 2014, Published at: IEEE Conference on Computer Vision and Pattern Recognition, Fulltext: PDF

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

Pose Estimation with Unknown Focal Length using Points, Directions and Lines
Kuang, Yubin; Åström, Kalle, 2013, Published at: IEEE International Conference on Computer Vision (ICCV2013), Fulltext: PDF

Revisiting the PnP Problem: A Fast, General and Optimal Solution
Zheng, Yinqiang; Kuang, Yubin; Sugimoto, Shigeki; Åström, Kalle; Okutomi, Masatoshi, 2013, Published at: IEEE International Conference on Computer Vision, ICCV2013, Fulltext: PDF

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

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: PDF

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

Stratified Sensor Network Self-Calibration From TDOA Measurements
Kuang, Yubin; Åström, Kalle, 2013, Published at: 21st European Signal Processing Conference 2013, Fulltext: PDF

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: PDF

TOA Sensor Network Calibration for Receiver and Transmitter Spaces with Difference in Dimension
Burgess, Simon; Kuang, Yubin; Åström, Kalle, 2013, Published at: 21st European Signal Processing Conference 2013, Fulltext: PDF

TOA sensor network self-calibration for receiver and transmitter spaces with difference in dimension
Burgess, Simon; Kuang, Yubin; Åström, Kalle, 2015, Published in: Signal Processing

Time Delay Estimation for TDOA Self-Calibration using Truncated Nuclear Norm
Jiang, Fangyuan; Kuang, Yubin; Åström, Kalle, 2013, Published at: The 38th International Conference on Acoustics, Speech, and Signal Processing, Fulltext: PDF

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: PDF

Visual Entity Linking: A Preliminary Study
Weegar, Rebecka; Hammarlund, Linus; Tegen, Agnes; Oskarsson, Magnus; Åström, Kalle; Nugues, Pierre, 2014, Published at: AAAI 2014 Workshop on Cognitive Computing for Augmented Human Intelligence, Fulltext: PDF

 

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