Techniques for interactive visual examination of autonomous vessel performance
Autonomous vessel technologies are tested in the field on smaller test-bed platforms, often referred to as sea drones, which are widely used in a variety of applications and conditions. Development of models with desired capabilities and improved performance characteristics necessitates iterative testing followed by detailed examination of collected data. The data usually consist of time-stamped records including vessel positions and associated measurements. These records form vessel trajectories. Using an example dataset, we delve into different aspects of autonomous vessel functionality that developers may wish to analyse. Employing various visual displays, interaction techniques
- Veröffentlicht in:
7th International Workshop on Big Data Visual Exploration and Analytics - Typ:
Inproceedings - Autoren:
Andrienko, Natalia V.; Andrienko, Gennady L.; Zissis, Dimitris; Troupiotis-Kapeliaris, Alexandros; Spiliopoulos, Giannis - Jahr:
2024 - Source:
https://api.semanticscholar.org/CorpusID:273878322
Informationen zur Zitierung
Andrienko, Natalia V.; Andrienko, Gennady L.; Zissis, Dimitris; Troupiotis-Kapeliaris, Alexandros; Spiliopoulos, Giannis: Techniques for interactive visual examination of autonomous vessel performance, 7th International Workshop on Big Data Visual Exploration and Analytics, 2024, https://api.semanticscholar.org/CorpusID:273878322, Andrienko.etal.2024d,
@Inproceedings{Andrienko.etal.2024d,
author={Andrienko, Natalia V.; Andrienko, Gennady L.; Zissis, Dimitris; Troupiotis-Kapeliaris, Alexandros; Spiliopoulos, Giannis},
title={Techniques for interactive visual examination of autonomous vessel performance},
booktitle={7th International Workshop on Big Data Visual Exploration and Analytics},
url={https://api.semanticscholar.org/CorpusID:273878322},
year={2024},
abstract={Autonomous vessel technologies are tested in the field on smaller test-bed platforms, often referred to as sea drones, which are widely used in a variety of applications and conditions. Development of models with desired capabilities and improved performance characteristics necessitates iterative testing followed by detailed examination of collected data. The data usually consist of time-stamped...}}
