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Institution

Swedish Defence Research Agency

GovernmentStockholm, Sweden
About: Swedish Defence Research Agency is a government organization based out in Stockholm, Sweden. It is known for research contribution in the topics: Radar & Synthetic aperture radar. The organization has 1413 authors who have published 2731 publications receiving 56083 citations. The organization is also known as: Totalförsvarets forskningsinstitut.


Papers
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Journal ArticleDOI
TL;DR: In this article, multivariate multiplicative drift correction and multivariate component correction were applied for recalibration of long-term measurement data acquired with a solid-state gas-sensor array system.

41 citations

Journal ArticleDOI
30 Jun 2015-PLOS ONE
TL;DR: A scalable concept and an integrated system demonstrator designed for the transfer of learnt workflows from observing multiple expert operators and then transfer the learnt workflow models to novice users are presented.
Abstract: Today, the workflows that are involved in industrial assembly and production activities are becoming increasingly complex. To efficiently and safely perform these workflows is demanding on the workers, in particular when it comes to infrequent or repetitive tasks. This burden on the workers can be eased by introducing smart assistance systems. This article presents a scalable concept and an integrated system demonstrator designed for this purpose. The basic idea is to learn workflows from observing multiple expert operators and then transfer the learnt workflow models to novice users. Being entirely learning-based, the proposed system can be applied to various tasks and domains. The above idea has been realized in a prototype, which combines components pushing the state of the art of hardware and software designed with interoperability in mind. The emphasis of this article is on the algorithms developed for the prototype: 1) fusion of inertial and visual sensor information from an on-body sensor network (BSN) to robustly track the user’s pose in magnetically polluted environments; 2) learning-based computer vision algorithms to map the workspace, localize the sensor with respect to the workspace and capture objects, even as they are carried; 3) domain-independent and robust workflow recovery and monitoring algorithms based on spatiotemporal pairwise relations deduced from object and user movement with respect to the scene; and 4) context-sensitive augmented reality (AR) user feedback using a head-mounted display (HMD). A distinguishing key feature of the developed algorithms is that they all operate solely on data from the on-body sensor network and that no external instrumentation is needed. The feasibility of the chosen approach for the complete action-perception-feedback loop is demonstrated on three increasingly complex datasets representing manual industrial tasks. These limited size datasets indicate and highlight the potential of the chosen technology as a combined entity as well as point out limitations of the system.

41 citations

Journal ArticleDOI
TL;DR: Trimodal displays with redundant information may contribute to safer and more reliable peak performance in time-critical dynamic tasks and especially in more extreme and stressful situations with high perceptual or mental workload.
Abstract: Objective:In a simulated combat vehicle, uni-, bi-, and trimodal cueing of direction to threat were compared with the purpose to investigate whether multisensory redundant information may enhance d ...

41 citations

Journal ArticleDOI
TL;DR: The estimation method works especially well in connection with low frequency (LF) UWB SAR, where the clutter is well focused and the phase of the smeared moving target signal becomes less distorted.
Abstract: In this paper, a method for moving target relative speed estimation and refocusing based on synthetic aperture radar (SAR) images is derived and tested in simulation and on real data with good results. Furthermore, an approach on how to combine the estimation method with the refocusing method is introduced. The estimation is based on a chirp estimator that operates in the SAR image and the refocusing of the moving target is performed locally using subimages. Focusing of the moving target is achieved in the frequency domain by phase compensation, and therefore makes it even possible to handle large range cell migration in the SAR subimages. The proposed approach is tested in a simulation and also on real ultrawideband (UWB) SAR data with very good results. The estimation method works especially well in connection with low frequency (LF) UWB SAR, where the clutter is well focused and the phase of the smeared moving target signal becomes less distorted. The main limitation of the approach is target accelerations where the distortion increases with the integration time.

40 citations

Proceedings ArticleDOI
11 Dec 2008
TL;DR: Empirical evaluations show that it is possible to reassemble images taken from a set containing fragments of several images, without knowing the ordering of the fragments.
Abstract: A fragmented JPEG image is currently not possible to reassemble without knowing the ordering of the fragments. This is a problem for the police when they search for illegal digital images. This paper presents a method to reassemble fragmented JPEG images containing restart markers. Empirical evaluations show that it is possible to reassemble images taken from a set containing fragments of several images.

40 citations


Authors

Showing all 1417 results

NameH-indexPapersCitations
Anders Larsson80130733995
Anders Johansson7553821709
Anders Eriksson6867919487
Dan S. Henningson6636919038
Bengt Johansson6663519206
Anders Sjöstedt6319611422
Björn Johansson6263716030
Mats Gustafsson6152018574
D. G. Joakim Larsson5815113687
Anders Larsson5419855761
Mats Tysklind5325017534
Jerker Fick511438787
Erik Johansson501149437
Göran Finnveden4919312663
Ian A. Nicholls451947522
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Performance
Metrics
No. of papers from the Institution in previous years
YearPapers
20232
20228
202163
202074
2019102
201894