Abstract
Recent adoptions of Unmanned Surface Vehicles (USV) call for efficient and cost-effective USV systems that are able to perform self-navigation. Successful development of a self-navigating USV depends on integration of essential features, such localization, obstacle detection and avoidance as well as navigation control techniques. This paper presents the development of a low-cost self-navigating USV by considering simplified kinematic and dynamic models. The dynamic models provide insights the actuation methods of the USV. The integration of self-navigating features to the USV prototype was evaluated through series of experiments using MATLAB/SIMULINK simulations. The experimental results are presented and discussed.
| Original language | English |
|---|---|
| Title of host publication | 8th IEEE Conference on Systems, Process and Control 2020 |
| Publisher | IEEE |
| Pages | 208-213 |
| Number of pages | 6 |
| ISBN (Electronic) | 9781728188614 |
| DOIs | |
| Publication status | Published - 7 Jan 2021 |
| Event | 8th IEEE Conference on Systems, Process and Control 2020 - Melaka, Malaysia Duration: 11 Dec 2020 → 12 Dec 2020 |
Conference
| Conference | 8th IEEE Conference on Systems, Process and Control 2020 |
|---|---|
| Abbreviated title | ICSPC 2020 |
| Country/Territory | Malaysia |
| City | Melaka |
| Period | 11/12/20 → 12/12/20 |
Keywords
- Line-of-Sight Navigation
- Obstacle Detection
- Self-Navigation
- Sensor Fusion
- USV
ASJC Scopus subject areas
- Artificial Intelligence
- Computer Science Applications
- Control and Optimization