A5101723394- Autonomous Vehicle Technology and Safety
- Video Surveillance and Tracking Methods
- Traffic and Road Safety
- Iron-based superconductors research
- Electric Vehicles and Infrastructure
- Traffic Prediction and Management Techniques
- Energy Harvesting in Wireless Networks
- Advanced Battery Technologies Research
- Advanced X-ray Imaging Techniques
- Rare-earth and actinide compounds
- Anomaly Detection Techniques and Applications
- Organic and Molecular Conductors Research
- Wireless Power Transfer Systems
- Corporate Taxation and Avoidance
- Particle Accelerators and Free-Electron Lasers
- SARS-CoV-2 detection and testing
- Time Series Analysis and Forecasting
- Digital Transformation in Industry
- Advanced Neural Network Applications
- Advanced Condensed Matter Physics
- Adrenal and Paraganglionic Tumors
- Cryptographic Implementations and Security
- Electrostatic Discharge in Electronics
- Advanced Data Processing Techniques
- Digital Innovation in Industries
University of Oxford
2022-2024
Karlsruhe Institute of Technology
2024
Deutsches Elektronen-Synchrotron DESY
2015-2020
Aschaffenburg University of Applied Sciences
2010-2019
Goethe University Frankfurt
2012-2018
Leibniz Institute for Solid State and Materials Research
2014
We present a novel attack against the Combined Charging System, one of most widely used DC rapid charging technologies for electric vehicles (EVs).Our attack, BROKEN-WIRE, interrupts necessary control communication between vehicle and charger, causing sessions to abort.The requires only temporary physical proximity can be conducted wirelessly from distance, allowing individual or entire fleets disrupted stealthily simultaneously.In addition, it mounted with off-the-shelf radio hardware...
We present a real-time multi-sensor architecture for video-based pedestrian detection used within road side unit intersection assistance. The entire system is implemented on available PC hardware, combining frame grabber board with embedded FPGA and graphics card into powerful processing network. Giving classification performance top priority, we use HOG descriptors Gaussian kernel support vector machine. In order to achieve performance, propose hardware that incorporates FPGA-based feature...
Avoiding collisions with vulnerable road users (VRUs) using sensor-based early recognition of critical situations is one the manifold opportunities provided by current development in field intelligent vehicles. As, especially, pedestrians and cyclists are very agile have a variety movement options, modeling their behavior traffic scenes becomes challenging task. In this paper, we propose models based on machine learning methods, particular, artificial neural networks, order to classify...
This paper focuses on monocular-video-based stationary detection of the pedestrian's intention to enter traffic lane. We propose a motion contour image based HOG-like descriptor, MCHOG, and machine learning algorithm that reaches decision at an accuracy 99% within initial step curb smart infrastructure. MCHOG implicitly comprises body language gait initiation, especially bending spread legs. In case study laboratory conditions we present ROC performance data evaluation span time necessary...
We present a method to detect starting, stopping and bending in intentions of pedestrians from moving vehicle based on stereo-vision. The focuses urban scenarios where these pedestrian movements are common may result critical situations. Pedestrian determined by means an image-based motion contour histogram oriented gradient descriptor. It is silhouettes gathered stereo data does not require any compensation appearance changes resulting the ego-motion vehicle. Nevertheless, it covers small...
By applying measurements of the dielectric constants and relative length changes to dimerized molecular conductor κ-(BEDT-TTF)_{2}Hg(SCN)_{2}Cl, we provide evidence for order-disorder type electronic ferroelectricity that is driven by charge order within (BEDT-TTF)_{2} dimers stabilized a coupling anions. According our density functional theory calculations, this material characterized moderate strength dimerization. This system thus bridges gap between strongly materials, often approximated...
Abstract A new family of ferroelectric liquid crystals is presented. In particular, some mixtures compounds from this show an interesting combination high spontaneous polarization, good alignment properties and room temperature smectic C* phase. Measurements are presented for transition enthalpies, refractive indices, X-ray tilt angle, electro-optic angle polarization. The response described as measured in 2 micron thick shear-aligned cells.
We report on measurements of the magnetic susceptibility and electrical resistance under He-gas pressure single crystals Ca(Fe$_{1-x}$Co$_{x}$)$_{2}$As$_{2}$. find that for properly heat-treated with modest Co-concentration, $x$ = 0.028, salient ground states associated iron-arsenide superconductors, i.e., orthorhombic/antiferromagnetic (o/afm), superconducting, nonmagnetic collapsed-tetragonal (cT) can be accessed all in one sample reasonably small truly hydrostatic pressure. This is...
This paper provides a method to forecast pedestrian trajectories by means of polynomial least-squares approximation and multilayer perceptron artificial neural networks for traffic safety applications. The approach uses camera based head tracking as input data predict continuous trajectory 2.5 s future time horizon. Training test is performed using 1075 recorded tracks uninstructed pedestrians in common public situations, including many challenging scenarios like starting, stopping bending...
We present temperature-dependent in-plane resistivity measurements on FeSe single crystals under He-gas pressure up to 800 MPa and magnetic fields $B\ensuremath{\le}10$ T. A sharp phase transition anomaly is revealed at the tetragonal-to-orthorhombic ${T}_{s}$ slightly below 90 K. becomes reduced with increasing in a linear fashion rate $d{T}_{s}/dP\ensuremath{\simeq}\ensuremath{-}31$ K/GPa. This accompanied by $P$-linear increase of superconducting temperature ${T}_{c}\ensuremath{\sim}8.6$...
We present an active pedestrian protection system that performs autonomous lane-keeping evasive maneuver in urban traffic scenarios when collision avoidance by braking is no longer possible. The focuses on pedestrians standing at the curb and intending to cross street despite approaching car. It demonstrated of car can be initiated before pedestrian's foot hits lane, means video-based motion contour histograms oriented gradients stationary detection. Using clothoid-based real-time trajectory...
The technical viability of future fusion power plants is influenced by several factors, including whether they can be maintained through remote means. plant design needs to aligned with the capability maintenance equipment, but determining this parameter requires labor-intensive analysis that draws from a wide variety sources. Automating vital for evaluate more DEMO variants, consistently and in detail, enable work other system designers. We build on previous groups automate process...
We present a real-time multisensor architecture for combined laser scanner and infra-red video-based pedestrian detection tracking used within road side unit intersection assistance. In order to achieve outmost classification performance we propose cascaded classifier using hypothesis generation histogram of oriented gradients (HOG) descriptors together with linear Gaussian kernel support vector machines (SVM). The entire cascade is implemented on graphics processing (GPU). Giving top...
We present a study of the influence disorder on Mott metal-insulator transition for organic charge-transfer salt $\kappa$-(BEDT-TTF)$_2$Cu[N(CN)$_2$]Cl. To this end, was introduced into system in controlled way by exposing single crystals to x-ray irradiation. The were then fine-tuned across application continuously controllable He-gas pressure at low temperatures. Measurements thermal expansion and resistance show that first-order character prevails irradiation doses achieved times up 100...
The effect of hydrostatic pressure and partial Na substitution on the normal-state properties superconducting transition temperature ($T_c$) K$_{1-x}$Na$_x$Fe$_2$As$_2$ single crystals were investigated. It was found that a leads to deviation from standard $T^2$ Fermi-liquid behavior in dependence resistivity. demonstrated non-Fermi liquid like resistivity for K$_{1-x}$Na$_{x}$Fe$_2$As$_2$ some KFe$_2$As$_2$ samples can be explained by disorder multiband system with rather different...
We present a detailed study of the combined effects Sr substitution and hydrostatic pressure on ground-state properties ${\mathrm{CaFe}}_{2}{\mathrm{As}}_{2}$. Measurements electrical resistance magnetic susceptibility, both at ambient finite $P\ensuremath{\le}2$ GPa, were performed ${\mathrm{Ca}}_{1\ensuremath{-}x}{\mathrm{Sr}}_{x}{\mathrm{Fe}}_{2}{\mathrm{As}}_{2}$ single crystals grown out Sn flux. find that by transition temperature to magnetic/structural phase is enhanced therefore...
The deployment of electric vehicle charging infrastructure is occurring at a rapid pace. Simultaneously, existing standards, such as ISO 15118, which defines critical communication, are being improved and further developed. In this paper, we conduct measurement study already deployed DC stations to analyze the current state for various protocols. We present adoption TLS, EV protocols with direct security impact, well observations about Signal Level Attenuation Characterization (SLAC)...
Avoiding collisions with vulnerable road users (VRUs) using sensor-based early recognition of critical situations is one the manifold opportunities provided by current development in field intelligent vehicles. As especially pedestrians and cyclists are very agile have a variety movement options, modeling their behavior traffic scenes challenging task. In this article we propose models based on machine learning methods, particular artificial neural networks, order to classify motion state...
Many modern devices, including critical infrastructures, depend on the reliable operation of electrical power conversion systems. The small size and versatility switched-mode converters has resulted in their widespread adoption. Whereas transformer-based systems passively convert voltage, feature an actively regulated feedback loop, which relies accurate sensor measurements. Previous academic work shown that many types sensors are vulnerable to Intentional Electromagnetic Interference (IEMI)...
We present a beam drift stabilization system for the 22 m UV-laser delivery to electron gun of European XFEL. The camera-based is robust dynamic variations in power, size and shape.
The shift from vehicles with internal combustion engines (ICE) to fully Electric Vehicles (EVs) is happening at a rapid pace. To be competitive ICEs and ensure smooth rollout, the charging process of EVs needs as fast convenient possible. Modern DC fast-charging standards achieve this by implementing high-level communication (HLC), which enables safe, efficient, experience.
The adoption of fully Electric Vehicles (EVs) is happening at a rapid pace. To make the charging as fast and convenient possible, new approaches are developed constantly. One such approach wireless charging, also known Wireless Power Transfer (WPT). Instead an EV via cable, battery charged wirelessly. For safety efficiency reasons, vehicle station continuously exchange critical information about process. This includes, e.g., maximum voltage current, temperature, State Charge (SoC). Since...