L*—An index for evaluating long range performance of autonomous underwater vehicles (AUVs)
- Standort
-
Deutsche Nationalbibliothek Frankfurt am Main
- Umfang
-
1 Online-Ressource.
- Sprache
-
Englisch
- Erschienen in
-
L*—An index for evaluating long range performance of autonomous underwater vehicles (AUVs) ; volume:12 ; number:10 ; day:20 ; month:7 ; year:2024 ; pages:2205-2221 ; date:10.2024
Friction ; 12, Heft 10 (20.7.2024), 2205-2221, 10.2024
- Urheber
-
Zhu, Manfu
Ma, Liran
Luo, Jianbin
- Beteiligte Personen und Organisationen
-
SpringerLink (Online service)
- DOI
-
10.1007/s40544-023-0842-7
- URN
-
urn:nbn:de:101:1-2411052102580.976068638163
- Rechteinformation
-
Open Access; Der Zugriff auf das Objekt ist unbeschränkt möglich.
- Letzte Aktualisierung
-
15.08.2025, 07:37 MESZ
Datenpartner
Dieses Objekt wird bereitgestellt von:
Deutsche Nationalbibliothek. Bei Fragen zum Objekt wenden Sie sich bitte an den Datenpartner.
Deutsche Nationalbibliothek. Bei Fragen zum Objekt wenden Sie sich bitte an den Datenpartner.
Beteiligte
- Zhu, Manfu
- Ma, Liran
- Luo, Jianbin
- SpringerLink (Online service)
Ähnliche Objekte (12)
Long-Term Adaptive Modeling for Autonomous Underwater Vehicles
Simulation model for energy consumption and acoustic underwater communication of autonomous underwater vehicles
Effective Turning Motion Control of Internally Actuated Autonomous Underwater Vehicles
A Comprehensive Review of Path Planning Algorithms for Autonomous Underwater Vehicles
Semi-supervised Visual Tracking of Marine Animals Using Autonomous Underwater Vehicles
Using Augmented State Kalman filter to localize multi autonomous underwater vehicles
Adaptive autonomous underwater vehicles for littoral surveillance : The GLINT10 field trial results
Autonomous Underwater Vehicle „ABYSS“
Learning, Evaluating and Optimizing Behavior Policies for Autonomous Vehicles
Autonomous robot vehicles
On-line path planning and robust adaptive path following for underactuated autonomous underwater vehicles
Deep-Sea Model-Aided Navigation Accuracy for Autonomous Underwater Vehicles Using Online Calibrated Dynamic Models
Long-Term Adaptive Modeling for Autonomous Underwater Vehicles
Simulation model for energy consumption and acoustic underwater communication of autonomous underwater vehicles
Effective Turning Motion Control of Internally Actuated Autonomous Underwater Vehicles
A Comprehensive Review of Path Planning Algorithms for Autonomous Underwater Vehicles
Semi-supervised Visual Tracking of Marine Animals Using Autonomous Underwater Vehicles
Using Augmented State Kalman filter to localize multi autonomous underwater vehicles
Adaptive autonomous underwater vehicles for littoral surveillance : The GLINT10 field trial results
Autonomous Underwater Vehicle „ABYSS“
Learning, Evaluating and Optimizing Behavior Policies for Autonomous Vehicles
Autonomous robot vehicles
On-line path planning and robust adaptive path following for underactuated autonomous underwater vehicles
Deep-Sea Model-Aided Navigation Accuracy for Autonomous Underwater Vehicles Using Online Calibrated Dynamic Models
Long-Term Adaptive Modeling for Autonomous Underwater Vehicles
Simulation model for energy consumption and acoustic underwater communication of autonomous underwater vehicles
Effective Turning Motion Control of Internally Actuated Autonomous Underwater Vehicles
A Comprehensive Review of Path Planning Algorithms for Autonomous Underwater Vehicles
Semi-supervised Visual Tracking of Marine Animals Using Autonomous Underwater Vehicles
Using Augmented State Kalman filter to localize multi autonomous underwater vehicles
Adaptive autonomous underwater vehicles for littoral surveillance : The GLINT10 field trial results
Autonomous Underwater Vehicle „ABYSS“
Learning, Evaluating and Optimizing Behavior Policies for Autonomous Vehicles
Autonomous robot vehicles
On-line path planning and robust adaptive path following for underactuated autonomous underwater vehicles