Scalable real-time parking lot classification: an evaluation of image features and supervised learning algorithms

The time-consuming search for parking lots could be assisted by efficient routing systems. Still, the needed vacancy detection is either very hardware expensive, lacks detail or does not scale well for industrial application. This paper presents a video-based system for cost-effective detection of vacant parking lots, and an extensive evaluation with respect to the system’s transferability to unseen environments. Therefore, different image features and learning algorithms were examined on three independent datasets for an unbiased validation. A feature / classifier combination which solved the given task against the background of a robustly scalable system, which does not require re-training on new parking areas, was found. In addition, the best feature provides high performance on gray value surveillance cameras. The final system reached an accuracy of 92.33% to 99.96%, depending on the parking rows’ distance, using DoG-features and a support vector machine

Sensorbasiertes Parkleitsystem mit Umfelderfassung zur Navigation und Belegungserkennung einzelner Parkplätze

Die Zahl der zugelassenen Fahrzeuge in Deutschland ist in den letzten Jahrzehnten kontinuierlich gestiegen und die Umweltbelastung erhöht sich zunehmend. Durch Minimierung des Suchverkehrs, der durch die Suche nach freien Stellplätzen entsteht, könnte diese Situation verbessert werden und gleichzeitig der Komfort der Fahrer erhöht werden. In dieser Arbeit wird ein sensorbasiertes Parkleitsystem vorgeschlagen. Es ermöglicht sowohl die Erkennung freier Stellplätze auf einem Parkareal durch aufgestellte Kameras als auch die Lokalisierung und Navigation von Fahrzeugen auf diesen Arealen zu geeigneten freien Stellplätzen. Zudem wird eine neuartige Simulationsumgebung basierend auf der Unreal Engine zur Generierung von Trainings- und Testdaten aber auch zur Evaluierung des Systems, vorgestellt

The Single Particles, Clusters and Biomolecules and Serial Femtosecond Crystallography instrument of the European XFEL: initial installation

The European X-ray Free-Electron Laser (FEL) became the first operational high-repetition-rate hard X-ray FEL with first lasing in May 2017. Biological structure determination has already benefitted from the unique properties and capabilities of X-ray FELs, predominantly through the development and application of serial crystallography. The possibility of now performing such experiments at data rates more than an order of magnitude greater than previous X-ray FELs enables not only a higher rate of discovery but also new classes of experiments previously not feasible at lower data rates. One example is time-resolved experiments requiring a higher number of time steps for interpretation, or structure determination from samples with low hit rates in conventional X-ray FEL serial crystallography. Following first lasing at the European XFEL, initial commissioning and operation occurred at two scientific instruments, one of which is the Single Particles, Clusters and Biomolecules and Serial Femtosecond Crystallography (SPB/SFX) instrument. This instrument provides a photon energy range, focal spot sizes and diagnostic tools necessary for structure determination of biological specimens. The instrumentation explicitly addresses serial crystallography and the developing single particle imaging method as well as other forward-scattering and diffraction techniques. This paper describes the major science cases of SPB/SFX and its initial instrumentation – in particular its optical systems, available sample delivery methods, 2D detectors, supporting optical laser systems and key diagnostic components. The present capabilities of the instrument will be reviewed and a brief outlook of its future capabilities is also described

Integrative Analysis Identifies Four Molecular and Clinical Subsets in Uveal Melanoma

Comprehensive multiplatform analysis of 80 uveal melanomas (UM) identifies four molecularly distinct, clinically relevant subtypes: two associated with poor-prognosis monosomy 3 (M3) and two with better prognosis disomy 3 (D3). We show that BAP1 loss follows M3 occurrence and correlates with a global DNA methylation state that is distinct from D3-UM. Poor-prognosis M3-UM divide into subsets with divergent genomic aberrations, transcriptional features, and clinical outcomes. We report change-of-function SRSF2 mutations. Within D3-UM, ElF1AX- and SRSF2/SF3B/-mutant tumors have distinct somatic copy number alterations and DNA methylation profiles, providing insight into the biology of these low- versus intermediate -risk clinical mutation subtypes