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Computer Science

D-Index
39
Citations
5584
World Ranking
9853
National Ranking
490

Overview

Monika Sester is affiliated with the University of Hannover in Germany. Their research primarily spans the fields of Engineering and Computer Science, with a strong focus on subfields such as Computer Vision and Pattern Recognition, Transportation, Automotive Engineering, Building and Construction, and Environmental Engineering.

Their recent publications demonstrate a range of topics and practical applications. Notable papers include:

  • "Flood severity mapping from Volunteered Geographic Information by interpreting water level from images containing people: A case study of Hurricane Harvey," 2020, ISPRS Journal of Photogrammetry and Remote Sensing
  • "Keypoints-Based Deep Feature Fusion for Cooperative Vehicle Detection of Autonomous Driving," 2022, IEEE Robotics and Automation Letters
  • "GATraj: A graph- and attention-based multi-agent trajectory prediction model," 2023, ISPRS Journal of Photogrammetry and Remote Sensing
  • "Impact-Based Forecasting for Pluvial Floods," 2021, Earth's Future
  • "Extraction and analysis of natural disaster-related VGI from social media: review, opportunities and challenges," 2022, International Journal of Geographical Information Systems

The scientist has collaborated frequently with several colleagues, including Hao Cheng, Yunshuang Yuan, Claus Brenner, Yu Feng, and Michael Ying Yang. These collaborations reflect consistent engagement with active researchers in related domains.

Monika Sester's research has appeared in various publication venues, notably:

  • arXiv (Cornell University)
  • The international archives of the photogrammetry, remote sensing and spatial information sciences / International archives of the photogrammetry, remote sensing and spatial information sciences
  • ISPRS annals of the photogrammetry, remote sensing and spatial information sciences
  • AGILE GIScience Series
  • ISPRS Journal of Photogrammetry and Remote Sensing

Their research topics include:

  • Autonomous Vehicle Technology and Safety
  • Remote Sensing and LiDAR Applications
  • Traffic Prediction and Management Techniques
  • 3D Surveying and Cultural Heritage
  • Transportation Planning and Optimization
  • Video Surveillance and Tracking Methods
  • Human Mobility and Location-Based Analysis

Monika Sester's work integrates methodologies from computer vision, geospatial information, and transportation systems to explore challenges related to autonomous driving, environmental hazards, and urban mobility. Their contributions to trajectory prediction, flood mapping, and cooperative vehicle detection demonstrate interdisciplinary approaches combining data science, engineering, and environmental monitoring.

Best Publications

  • Geospatial Big Data Handling Theory and Methods: A Review and Research Challenges

    Songnian Li;Suzana Dragicevic;Francesc Antón Castro;Monika Sester

  • Geospatial Big Data Handling Theory and Methods: A Review and Research Challenges

    S. Li;S. Dragicevic;F. Anton;M. Sester

  • GENERALIZATION BASED ON LEAST SQUARES ADJUSTMENT

    Monika Sester

  • Optimization approaches for generalization and data abstraction

    Monika Sester

  • Spatial information retrieval and geographical ontologies an overview of the SPIRIT project

    Christopher B. Jones;R. Purves;A. Ruas;M. Sanderson

  • A Generative Statistical Approach to Automatic 3D Building Roof Reconstruction from Laser Scanning Data

    Hai Huang;Claus Brenner;Monika Sester

  • Integration of heterogeneous geospatial data in a federated database

    Matthias Butenuth;Guido v. Gösseln;Michael Tiedge;Christian Heipke

  • Area Collapse and Road Centerlines based on Straight Skeletons

    Jan-Henrik Haunert;Monika Sester

  • Integration of GPS traces with road map

    Lijuan Zhang;Frank Thiemann;Monika Sester

  • Information from imagery: ISPRS scientific vision and research agenda

    Jun Chen;Ian Dowman;Songnian Li;Zhilin Li

  • Linking Objects of Different Spatial Data Sets by Integration and Aggregation

    Monika Sester;Karl-Heinrich Anders;Volker Walter

  • Continuous Generalization for Visualization on Small Mobile Devices

    Monika Sester;Claus Brenner

  • Landmark hierarchies in context

    Stephan Winter;Martin Tomko;Birgit Elias;Monika Sester

  • Knowledge acquisition for the automatic interpretation of spatial data

    Monika Sester

  • Visualization in an early stage of the problem-solving process in GIS

    Andreas D. Blaser;Monika Sester;Max J. Egenhofer

  • Extraction of Pluvial Flood Relevant Volunteered Geographic Information (VGI) by Deep Learning from User Generated Texts and Photos

    Yu Feng;Monika Sester

  • Keypoints-Based Deep Feature Fusion for Cooperative Vehicle Detection of Autonomous Driving.

    Yunshuang Yuan;Hao Cheng;Monika Sester

  • Learning Cartographic Building Generalization with Deep Convolutional Neural Networks

    Yu Feng;Frank Thiemann;Monika Sester

  • Flood severity mapping from Volunteered Geographic Information by interpreting water level from images containing people: A case study of Hurricane Harvey

    Yu Feng;Claus Brenner;Monika Sester

  • Quality assessment of OpenStreetMap data using trajectory mining

    Anahid Basiri;Mike Jackson;Pouria Amirian;Amir Pourabdollah

  • Rainfall estimation using moving cars as rain gauges – laboratory experiments

    Ehsan Rabiei;Uwe Haberlandt;Monika Sester;Daniel Fitzner

  • Pattern recognition in road networks on the example of circular road detection

    Frauke Heinzle;Karl-Heinrich Anders;Monika Sester

Frequent Co-Authors

Stephan Winter
Stephan Winter University of Melbourne
Ouri Wolfson
Ouri Wolfson University of Illinois at Chicago
Robert Weibel
Robert Weibel University of Zurich
Bodo Rosenhahn
Bodo Rosenhahn University of Hannover
Alfred Stein
Alfred Stein University of Twente
Peter van Oosterom
Peter van Oosterom Delft University of Technology
Christian Heipke
Christian Heipke University of Hannover
Franz Rottensteiner
Franz Rottensteiner University of Hannover
Frank van Harmelen
Frank van Harmelen Vrije Universiteit Amsterdam
Heidi Kreibich
Heidi Kreibich Helmholtz Centre Potsdam - GFZ German Research Centre for Geosciences

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