Klaus Böhm

Safety Assessment of Traction Batteries Using Full-Vehicle Radiography

Stefan Koppenhofer, Sven Kilian, John George, Michael Salamon et autres

This study presents the newly developed “Antriebsbatterie-Inspektion mittels Röntgen” (AIR) system, a 2D X-ray imaging technology designed for radiation-safe scanning of entire vehicles. Utilizing a 360 kV X-ray source, AIR acquires high-resolution images from a bird’s-eye view, allowing for comprehensive inspection of …

GC-Analyzer – Analyzing Spatiotemporal Correlations for Demand-Driven Services: Using an Interactive GeoVisual Analytics Approach in Decision-Making

Alexander Rolwes, Klaus Böhm, Ralf Dörner

Abstract. Understanding spatiotemporal relationships is essential for effective urban decision-making. In this context, interactive geovisualizations offer the promising potential to support precise, rational-analytical decision processes. This paper examines a refined version of our GeoVisual Analytics tool called GC-Analyzer for analyzing spatiotemporal relationships …

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Q-GGXAI: a Framework for Quality-Aware Explainable AI in Geospatial Analysis

Cédric Roussel, Klaus Böhm, Alexander Reiterer

Abstract Geospatial machine learning models are widely used in domains such as urban planning, public health, and transportation. However, understanding these models is challenging due to their inherent complexity. Traditional explainable artificial intelligence methods provide either global explanations that allow broad insights …

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Understanding Machine-Learning-Based Urban Parking Predictions: A Dashboard Approach

Alexander Rolwes, Cédric Roussel, Thomas Müller, Klaus Böhm et autres

This paper presents a platform that uses open urban data and machine learning to predict parking space occupancy in Mainz, Germany. Our goal is to support urban mobility by delivering real-time weather data and parking availability forecasts. We developed and evaluated several …

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Applying Mixed Reality for Surveying Exercises: Integrating Surveying Instruments in VR-CAVEs

Fabian Püschel, Carina Justus, Klaus Böhm

This paper examines the technical feasibility of integrating a real total station into a VR-CAVE environment to facilitate mixed-reality surveying exercises. The developed Mixed Reality Surveying CAVE (MRS-CAVE) prototype combines physical interaction with a real total station and immersive virtual environments to …

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Influence of 3D Barriers on Walkability for the Elderly in a German City

Hartmut Müller, Konstantin Geist, Klaus Böhm, Markus Schaffert

Walking is a sustainable, safe, and active mode of transportation. The benefits that the elderly in particular gain from outdoor walking are manifold, be it free andindependent access to stores and services of all kinds or the opportunity to socialize, enjoy parks, …

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Spatial Navigation Concepts Based on Pose Estimation for a VR-CAVE Setting

Fabian Püschel, Klaus Böhm

This paper presents a technical proof-of-concept for utilizing cost-effective, computer vision-based pose estimation to enable natural and virtual navigation in VR- CAVEs. Utilizing MediaPipe for pose estimation we examined key challenges in applying pose data to navigation concepts. To address issues such …

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Visualizing Uncertainty in AI for Accident Severity Classification

Cédric Roussel, Klaus Böhm, Bastian Jakobi, A.I. Vlasov et autres

Uncertainties are frequently encountered in machine learning, especially in classification tasks where the model's output is determined by the probabilities of each class. In geospatial use cases, the challenge is to find appropriate visualizations on geographic maps for these uncertainties, so that …

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Impact of Partially Automated Driving Functions on Forensic Accident Reconstruction: A Simulator Study on Driver Reaction Behavior in the Event of a Malfunctioning System Behavior

Daniel Paula, Maximilian Bauder, Claus Pfeilschifter, Franziska Petermeier et autres

Partially automated driving functions (SAE Level 2) can control a vehicle's longitudinal and lateral movements. However, taking over the driving task involves automation risks that the driver must manage. In severe accidents, the driver's ability to avoid a collision must be assessed, …

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Impact of Partially Automated Driving Functions on Forensic Accident Reconstruction: A Simulator Study on Driver Reaction Behavior in the Event of a Malfunctioning System Behavior

Daniel Paula, Maximilian Bauder, Claus Pfeilschifter, Franziska Petermeier et autres

Partially automated driving functions (SAE Level 2) can control a vehicle's longitudinal and lateral movements. However, taking over the driving task involves automation risks that the driver must manage. In severe accidents, the driver's ability to avoid a collision must be assessed, …

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Geospatial XAI: A Review

Cédric Roussel, Klaus Böhm

Explainable Artificial Intelligence (XAI) has the potential to open up black-box machine learning models. XAI can be used to optimize machine learning models, to search for scientific findings, or to improve the understandability of the AI system for the end users. Geospatial …

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What's the Deal with CG? The Usage of Mixed Reality Applications as a Means to Facilitate Meaningful Experiences in Teaching and Learning Computer Graphics

Klaus Böhm, Pascal Neis

Due to the thematic diversity, as well as the spatial awareness required to learn and master computer graphics content, teaching it can be challenging. To alleviate these problems, a large body of past research has explored experiential learning approaches and implemented them …

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