Multimodal Sensor-Lighting System for the Protection of Vulnerable Traffic Participants The reliable machine detection of vulnerable participants in road traffic (pedestrians, two-wheelers) is an important social goal and a demanding technical challenge, which currently remains unresolved; particularly when it comes to poor visibility conditions (night, fog), far distances (>100m) and approaching a vehicle from the … Continue reading SmartProtect →
Simulation of vehicle interiors for the efficient development of driver/occupant monitoring systems The goal of this project is a cost and time efficient simulation workflow for the development of applications for environmental analysis for the vehicle interior. Our innovative approach simulates complex dynamic vehicle interior scenarios (e.g. generation and animation of 3D person models, materials … Continue reading SyntheticCabin →
Learned Image Compression With more than 85% of all global internet traffic, image and video data make up the majority of information transmitted via the internet. In particular, the growing market of streaming services together with an increase in video quality are making the availability of highly efficient image and video compression methods a necessity … Continue reading aistream →
Subjective Assessments of Legibility in Ancient Manuscript Images. The dataset consists of 250 images of historic manuscripts, paired with spatial maps of human legibility. These legibility were created in a study with 20 experts of philology an paleography. Dataset: Publication: https://link.springer.com/chapter/10.1007/978-3-030-68787-8_5
Etruscan Mirrors in Austria: The Kunsthistorisches Museum Vienna and other public collections Etruscan mirrors form one of the largest object groups in Etruscan art; and this project intends to produce a comprehensive study of Etruscan mirrors held in Austria – those in the Kunsthistorisches Museum Vienna and the ones housed in other Austrian public collections. … Continue reading Etruscan Mirrors in Austria →
This dataset consists of 3 subsets: Leaves of the most common Austrian broad leaf trees: Ash (25), Beech (30), Hornbeam (34), Mountain oak (22), Sycamore maple (23) Bark of the most common Austrian trees: Ash (34), Beech (16), Black pine (166), Fir (127), Hornbeam (42), Larch (200), Mountain oak (77), Scots pine (190), Spruce (213), … Continue reading Tree Species Dataset →
The Time Machine Lower Austria project is a feasability study within the context of the Time Machine organisation. Its goal is to analyze the data landscape of cultural heritage institutions in Lower Austria and to show possibilities to access and visualize this data. The origin of the data can be from archives, museums, libraries and … Continue reading Time Machine Lower Austria →
The digital transformation of the humanities has been driven since 1949. In Austria, this transformation has received a significant boost since 2015. In various national cooperation projects (HRSM project KONDE) and international infrastructure projects (DARIAH, CLARIN), Austrian universities and cultural heritage institutions have built up specialized competencies that are to be disseminated in the present … Continue reading Digital Transformation of the Austrian Humanities →
Domain-adaptive Remote sensing Image Analysis with Human-in-the-loop Analyzing remote sensing images on a large scale requires to balance two major constraints: accuracy of results and the time it takes to process the images. Using human analysts to accomplish the goal usually provides highly accurate results, but is often not feasible in large-scale scenarios due to … Continue reading DoRIAH →
Sustainable shopping through real-time visualization of product information on mobile devices Unsustainable production practices and excessive consumerism are major drivers of the climate and biodiversity crises, which are two of the most significant challenges of our time. Although more and more people are concerned with the environmental and social impacts of their purchasing habits and … Continue reading EcoShop →