Multi-Sensor Tracking for Autonomous Surface Vehicles
, 2023 Maritime autonomy is rapidly gaining interest both in academic and industrial circles. Safe navigation for autonomous surface vehicles requires a robust and reliable tracking system that maintains and estimates the positions and velocities of other vessels.
openaire +1 more source
Practical identification approach for the actuation dynamics of autonomous surface vehicles with minimal instrumentation: extended version [PDF]
Thalia Morel +3 more
openalex +1 more source
ROAZ Autonomous Surface Vehicle Design and Implementation
, 2007 The design of an Autonomous Surface Vehicle for operation in river and estuarine scenarios is presented. Multiple operations with autonomous underwater vehicles and support to AUV missions are one of the main design goals in the ROAZ system. The mechanical design issues are discussed.
Ferreira, Hugo +5 more
openaire +1 more source
MPC-based Reinforcement Learning for a Simplified Freight Mission of Autonomous Surface Vehicles [PDF]
, 2021 Wenqi Cai +4 more
openalex +1 more source
Guidance System for Autonomous Surface Vehicles
, 2015 There has been a rapid growth in autonomous technology in several fields the past decade. One of these is autonomous navigation, where the DARPA Grand Challenges has been a major research catalyst. Today, the Centre of Excellence "Centre for Autonomous Marine Operations and Systems (AMOS)" in cooperation with the maritime industry seeks to develop ...
openaire +1 more source
Reconfigurable Intelligent Surfaces for the Connectivity of Autonomous\n Vehicles [PDF]
, 2020 Y. Ugur Ozcan +2 more
openalex +1 more source
Autonomous Surface Vehicle sebagai Alat Pemantau Lingkungan Menggunakan Metode Navigasi Waypoint
, 2018 Fadlila Rizki Saputra, Muhammad Rivai
openalex +2 more sources
The Lateral Control of Unmanned Vehicles Based on Neural Network Identification and a Fast Tube Model Predictive Control Algorithm. [PDF]
Sensors (Basel)Dai Y, Zhou Z.
europepmc +1 more source
Research on Autonomous Navigation and Control of Unmanned Surface Vehicles Based on Reinforcement Learning Algorithms and Multi-Objective Optimization Models [PDF]
Zetong Chen
openalex +1 more source