Zobrazeno 1 - 4
of 4
pro vyhledávání: '"Tetyana Kholodna"'
Publikováno v:
Journal of Big Data, Vol 10, Iss 1, Pp 1-22 (2023)
Abstract Mobility data of a moving object, called trajectory data, are continuously generated by vessel navigation systems, wearable devices, and drones, to name a few. Trajectory data consist of samples that include temporal, spatial, and other desc
Externí odkaz:
https://doaj.org/article/7cce2612e8af4a47ad253e8d0faf9ab4
Publikováno v:
Maritime Transport Research, Vol 4, Iss , Pp 100086- (2023)
Detecting waypoints where vessels change their behavior (i.e., maneuvers, speed changes, etc.) is essential for optimizing vessel trajectories to increase the efficiency and safety of sailing. However, accurately detecting waypoints is challenging du
Externí odkaz:
https://doaj.org/article/5ed0cf4cc2654f94a6b029a93a177c52
Publikováno v:
Journal of Marine Science and Engineering, Vol 11, Iss 3, p 615 (2023)
The availability of automatic identification system (AIS) data for tracking vessels has paved the way for improvements in maritime safety and efficiency. However, one of the main challenges in using AIS data is often the low quality of the data. Prac
Externí odkaz:
https://doaj.org/article/6cba3eb02e414d528156b30a61562cb7
Publikováno v:
35th Canadian Conference on Artificial Intelligence (Canadian AI 2022)
Vessel navigation is influenced by various factors, such as dynamic environmental factors that change over time or static features such as vessel type or depth of the ocean. These dynamic and static navigational factors impose limitations on vessels,
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::d6db588b63ec889f6e5987be94581bd5
http://arxiv.org/abs/2204.11855
http://arxiv.org/abs/2204.11855
