Felix Sattler

ORCID: 0000-0001-8869-282X
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About
Contact & Profiles
Research Areas
  • Robotics and Sensor-Based Localization
  • Underwater Vehicles and Communication Systems
  • Maritime Navigation and Safety
  • Infrared Target Detection Methodologies
  • Particle physics theoretical and experimental studies
  • Museums and Cultural Heritage
  • European history and politics
  • German Literature and Culture Studies
  • Libraries and Information Services
  • German Social Sciences and History
  • Distributed and Parallel Computing Systems
  • Advanced Data Storage Technologies
  • Particle Detector Development and Performance
  • Video Surveillance and Tracking Methods
  • Digital and Traditional Archives Management
  • Superconducting Materials and Applications
  • Advanced Optical Sensing Technologies

Deutsches Zentrum für Luft- und Raumfahrt e. V. (DLR)
2022-2024

The 2 <sup xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">nd</sup> Workshop on Maritime Computer Vision (MaCVi) 2024 addresses maritime computer vision for Unmanned Aerial Vehicles (UAV) and Surface (USV). Three challenges categories are considered: (i) UAV-based Object Tracking with Re-ideruification, (ii) USV-based Obstacle Segmentation Detection, (iii) Boat Tracking. Detection features three sub-challenges, including a new embedded challenge...

10.1109/wacvw60836.2024.00099 article EN 2024-01-01

Abstract Assessing the security status of maritime infrastructures is a key factor for safety and security. Facilities such as ports harbors are highly active traffic zones with many different agents present, like containers, trucks or vessels. Conveying security-related information in concise easily understandable format can support decision-making process stakeholders, port authorities, law enforcement agencies emergency services. In this work, we propose novel real-time 3D reconstruction...

10.1007/s00371-023-02802-4 article EN cc-by The Visual Computer 2023-03-10

The tracking-by-detection paradigm is the mainstream in multi-object tracking, associating tracks to predictions of an object detector. Although exhibiting uncertainty through a confidence score, these do not capture entire variability inference process. For safety and security critical applications like autonomous driving, surveillance, etc., knowing this predictive essential though. Therefore, we introduce, for first time, fast way obtain empirical distribution during detection incorporate...

10.48550/arxiv.2408.17098 preprint EN arXiv (Cornell University) 2024-08-30

We introduce a novel method for updating 3D geospatial models, specifically targeting occlusion removal in large-scale maritime environments. Traditional reconstruction techniques often face problems with dynamic objects, like cars or vessels, that obscure the true environment, leading to inaccurate models requiring extensive manual editing. Our approach leverages deep learning techniques, including instance segmentation and generative inpainting, directly modify both texture geometry of...

10.48550/arxiv.2409.03451 preprint EN arXiv (Cornell University) 2024-09-05

Maritime surveillance relies on advanced technologies to ensure the safety and security of national international waters, particularly in monitoring vessel activities. Distributed Acoustic Sensing (DAS) has emerged as a powerful technology for detecting analyzing underwater acoustic signatures along fiber-optic cables. However, lack annotated DAS datasets maritime contexts, combined with high dimensionality unstructured nature recorded data streams, hinders deployment automated solutions...

10.1117/12.3031529 article EN 2024-11-13

We introduce a novel method for updating 3D geospatial models, specifically targeting occlusion removal in large-scale maritime environments. Traditional reconstruction techniques often face problems with dynamic objects, like cars or vessels, that obscure the true environment, leading to inaccurate models requiring extensive manual editing. Our approach leverages deep learning techniques, including instance segmentation and generative inpainting, directly modify both texture geometry of...

10.1117/12.3030924 article EN 2024-11-20

The 2nd Workshop on Maritime Computer Vision (MaCVi) 2024 addresses maritime computer vision for Unmanned Aerial Vehicles (UAV) and Surface (USV). Three challenges categories are considered: (i) UAV-based Object Tracking with Re-identification, (ii) USV-based Obstacle Segmentation Detection, (iii) Boat Tracking. Detection features three sub-challenges, including a new embedded challenge addressing efficicent inference real-world devices. This report offers comprehensive overview of the...

10.48550/arxiv.2311.14762 preprint EN cc-by arXiv (Cornell University) 2023-01-01

Particle simulation software is essential for the development and validation of theoretical prototypes in a myriad physical appplications. The Geant4 toolkit provides precise particle transport matter interaction simulations controlled setting. interpretation simulated results intimately linked to level detail represented itself, including ability framework create detailed geometries. Yet, rendering such highly geometries daunting task Geant4, where high-variance scenes must often be...

10.5194/egusphere-egu23-6638 preprint EN 2023-02-25

Accessible evaluation of the security status maritime infrastructures is a key factor for safety. Conveying security-related information at glance can support decision-making process stakeholders, such as port authorities, law enforcement agencies and emergency services. In this work, we present novel situational awareness framework that visualises dynamic 3D point clouds static geospatial data in web-based display. Our system capture, reconstruct display objects real-time allowing user to...

10.1109/iv60283.2023.00063 article EN 2020 24th International Conference Information Visualisation (IV) 2023-07-25

The correctness and precision of particle physics simulation software, such as Geant4, is expected to yield results that closely align with real-world observations or well-established theoretical predictions. Notably, the accuracy these simulated outcomes contingent upon software's capacity encapsulate detailed attributes, including its prowess in generating incorporating complex geometrical constructs. While imperatives are essential simulations, need manually code highly geometries emerges...

10.48550/arxiv.2311.06327 preprint EN cc-by-nc-sa arXiv (Cornell University) 2023-01-01
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