Autonomously following a leading vehicle is a major step towards fully autonomous vehicles. The contribution of this work consists in the development, implementation, and validation of two following modes: 1) Exact fo...
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We report on progress made in the last few years at fraunhofer IOSB with regards to understanding the effects that underwater turbulence poses for laser-based communications and also with regards to design and impleme...
We report on progress made in the last few years at fraunhofer IOSB with regards to understanding the effects that underwater turbulence poses for laser-based communications and also with regards to design and implementation of efficient wavefront correction strategies. We have pursued, through parallel efforts, analytical modelling of light propagation through oceanic turbulence, conception and validation of turbulence characterization methods, and construction of “wavefront sensorless” adaptive optics for underwater communications.
This work presents the results of the initial acquisition of a multi-modal dataset that will be utilized to train and test a neural network for wood sorting. The aim of the project is to improve wood recycling from bu...
This work presents the results of the initial acquisition of a multi-modal dataset that will be utilized to train and test a neural network for wood sorting. The aim of the project is to improve wood recycling from bulky waste by using four complementary sensing systems: visual, infrared, terahertz, and thermography. The four systems were combined to capture 57 multi-modal images of bulky waste samples moving on the conveyor belt at a speed of 10 cm/s. Early fusion results on THz show 0.77 accuracy, whereas the best multi-modal data fusion accuracy equals 0.921.
Immersion and Flow are important parameters when it comes to an enjoyable experience of video games. To measure these mental states usually self-assessment questionnaires, answered by the subject after the experience,...
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Network Intrusion Detection system (NIDS) for process-based anomaly detection have been developed as one of the cybersecurity solutions against industrial process targeted attacks such as Stuxnet. In practice, the rea...
Network Intrusion Detection system (NIDS) for process-based anomaly detection have been developed as one of the cybersecurity solutions against industrial process targeted attacks such as Stuxnet. In practice, the real-world industrial plants could not complement the advancements in the industrial cybersecurity research as upgrading the infrastructure is an expensive and deterrent process for plant owners. In addition, the infrastructure information might be lost over the intended longer lifetime, hence, configuring a NIDS in the absence of such information is a challenge. Moreover, the existing NIDS solutions analyze the industrial process values/parameters with the knowledge of their semantics, and would fail when the semantics is not known or lost. As a solution to aforementioned problem, we propose an industrial communication paradigm aware Process Payload Profiling Framework (P3F), capable of self-learning process behavior from network traffic without the knowledge of underlying process parameters being exchanged. We also report P3F’s successful detection of an anomaly in the process of a miniaturized PROFINET-based industrial system, caused by a simulated process-targeted cyberattack.
We show that quantum-optimal tests for discriminating between one and two light sources via spatial-mode demultiplexing become as good as flipping a coin in the presence of arbitrarily small imperfections, and we deve...
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We consider transmission-matrix methods for the characterization of the atmosphere. First, we investigate the temporal stability of highly-transmitting modes of instantaneous realizations of atmospheric channels. Then...
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Virtual environments (VE) provide immersive experiences that allow users to perceive and interact with three dimensional (3D) content. Yet, the 3D applications are often tailored for specific tasks and hardware setups...
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This paper presents a cooperative human-computer interaction (HCI) assembly station which is assisting a worker during a manual assembly process. The worker's identity, body pose and height is determined to provid...
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In manufacturing, annotating defects for later correction is tedious and still not yet standardized. This task cannot be automated in the foreseeable future since finding and assessing the severity of defects is even ...
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