- Standort
-
Deutsche Nationalbibliothek Frankfurt am Main
- Umfang
-
Online-Ressource
- Sprache
-
Englisch
- Anmerkungen
-
Bremen, Universität Bremen, Dissertation, 2020
- Schlagwort
-
Maschinelles Lernen
Mathematisches Modell
Mobiler Roboter
Adaptives System
Autonomer Roboter
Bahnplanung
- Ereignis
-
Veröffentlichung
- (wo)
-
Bremen
- (wer)
-
Staats- und Universitätsbibliothek Bremen
- (wann)
-
2020
- Urheber
-
Wehbe, Bilal
- Beteiligte Personen und Organisationen
-
Kirchner, Frank
Maurelli, Francesco
- DOI
-
10.26092/elib/173
- URN
-
urn:nbn:de:gbv:46-elib43884
- Rechteinformation
-
Der Zugriff auf das Objekt ist unbeschränkt möglich.
- Letzte Aktualisierung
-
14.08.2025, 10:48 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
- Wehbe, Bilal
- Kirchner, Frank
- Maurelli, Francesco
- Staats- und Universitätsbibliothek Bremen
Entstanden
- 2020
Ähnliche Objekte (12)
Adaptive autonomous underwater vehicles for littoral surveillance : The GLINT10 field trial results
On-line path planning and robust adaptive path following for underactuated 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
Probabilistic long-term prediction for autonomous vehicles
Model Based Adaptive Control and Disturbance Compensation for Underwater Vehicles
Autonomous Underwater Vehicle „ABYSS“
L*—An index for evaluating long range performance of autonomous underwater vehicles (AUVs)
Autonomous robot vehicles
Adaptive autonomous underwater vehicles for littoral surveillance : The GLINT10 field trial results
On-line path planning and robust adaptive path following for underactuated 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
Probabilistic long-term prediction for autonomous vehicles
Model Based Adaptive Control and Disturbance Compensation for Underwater Vehicles
Autonomous Underwater Vehicle „ABYSS“
L*—An index for evaluating long range performance of autonomous underwater vehicles (AUVs)
Autonomous robot vehicles
Adaptive autonomous underwater vehicles for littoral surveillance : The GLINT10 field trial results
On-line path planning and robust adaptive path following for underactuated 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
Probabilistic long-term prediction for autonomous vehicles
Model Based Adaptive Control and Disturbance Compensation for Underwater Vehicles
Autonomous Underwater Vehicle „ABYSS“
L*—An index for evaluating long range performance of autonomous underwater vehicles (AUVs)