Monika Sester

Contributions to Integrity and Collaboration in Dynamic Sensor Networks

Rozhin Moftizadeh, Max Mehltretter, Rasho Ali, Hamza Alkhatib et autres

Abstract Reliable and safe navigation of autonomous systems is an active field of research, particularly in the context of complex urban environments. A key challenge is navigation integrity, defined as the trust in the correctness of the estimated system state; the transfer …

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A Scale-Adaptive Framework for Building Generalization via Instruction-Guided Diffusion and Geometry-Aware Vectorization

Keying Fan, Qian Ning, Zhiyong Zhou, Monika Sester et autres

Abstract Map generalization aims to adapt detailed geospatial data to visualization at different map scales while preserving legibility and geometric consistency. Recent learning-based approaches have shown promising results, but they typically require training separate models for each target scale and produce raster …

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CLIPPER: Replayable Shortlisted Optimization for Repeated Spatial Coverage Planning

Julian Teusch, Jörg P. Müller, Monika Sester

Operational requirements developed with the City of Braunschweig frame municipal micromobility planning under geofenced exclusions, mandatory retained sites, spacing rules, and area-level caps. Each policy edit requires a new feasible plan; full-set greedy takes tens of seconds per alternative at city scale. …

Analyse von Laserscannerdaten zur Identifikation von Objekten und Geländestrukturen

Monika Sester

Seeing Before Answering: Training-Free Visual Layer Profiling for Vision-Language Models

Ruchen Liu, Yi Yang, Yiming Xu, Michael Ying Yang et autres

LLaVA-style Vision-Language Models (VLMs) pass visual tokens from a fixed late layer of the vision backbone, typically the penultimate one, to the language model. We first show that this hidden convention is fragile: across 2 VLMs and 7 image and video benchmarks, …

Spatiotemporal uncertainty of movement data in unstructured geographic areas: Approaches to generate possibility spaces from ship movements

Monika Sester, Stefan Fuest, Andreas Gollenstede, Claus Brenner

Abstract. Path planning in unstructured geographic areas usually cannot rely on an existing graph of potential route segments, but has to operate on polygonal spaces. Furthermore, it does depend on the underlying structure (e.g. terrain, weather, water conditions), which constrain the movement. …

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A Framework for Integrating and Managing Heterogeneous 3D Geospatial Data in Urban Digital Twins

Jeson Lonappan, Olga Shkedova, Udo Feuerhake, Monika Sester

Abstract. Urban Digital Twins (UDT) require systematic integration of heterogeneous 3D geospatial data sources, but existing integration methods struggle with semantic information loss during fusion, geometric precision degradation through format conversions, and limited storage scalability. This paper presents a modular, database-centric framework …

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SMOL-MapSeg: Segmenting historical maps by legend-oriented prompting

Yunshuang Yuan, Frank Thiemann, Thorsten Dahms, Monika Sester

Sequence-based Decoupling Encoder for Well Log Interpretation

Ning Qian, Yiming Xu, Monika Sester

Abstract. Well logging curves play a crucial role in oil and gas exploration and geological engineering, as they provide essential information about subsurface formations and reservoir properties. In recent years, with the growing adoption of deep learning techniques in geoscientific data analysis, …

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Digital twins of geosystems

Olaf Kolditz, Lars Bilke, Tuanny Cajuhi, Marzieh Baes et autres

This paper introduces a research initiative focusing on the development of digital twin concepts for geosystems. Seven teams from thirteen research institutions are developing digitalisation concepts and tools for various geoscientific applications, such as geothermal energy resources and systems, deep geological repositories …

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GeoAI for map generalization in multi-scale cartography: foundations, a research agenda, and interdisciplinary perspectives

Zhiyong Zhou, Cheng Fu, Yu Feng, Guillaume Touya et autres

Multi-scale spatial representation is a crucial mechanism for describing facts about the real world and for managing and communicating spatial data efficiently and effectively. To enable such multi-scale spatial representation, map generalization has thus been developed. The advances of GeoAI, which focus …

“Colorful Smoke” Visual Metaphor for Temporal Occupancy in Urban Digital Twins

Olga Shkedova, Jeson Lonappan, Monika Sester

Abstract. Urban digital twins (UDTs) play a pivotal role in advancing smart city development, enabling virtual representations of complex urban environments and supporting advanced planning, monitoring, and decision-making. Despite significant progress, challenges remain in intuitively visualizing dynamic, heterogeneous data, managing real-time updates, …

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