Fuzzy Inference-Based Adaptive Sonar Control for Collision Avoidance in Autonomous Underwater Vehicles
This article discusses the use of adaptive control in the sonar scanning sector within an obstacle detection system, to improve the effectiveness of collision avoidance for autonomous underwater vehicles (AUVs). An adaptive network-based fuzzy inference system (ANFIS) was used for dynamic calculatio...
Saved in:
Main Author: | Kot Rafał |
---|---|
Format: | Article |
Language: | English |
Published: |
Sciendo
2024-12-01
|
Series: | Polish Maritime Research |
Subjects: | |
Online Access: | https://doi.org/10.2478/pomr-2024-0058 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
ROITP: Road Obstacle-Involved Trajectory Planner for Autonomous Trucks
by: Yechen Qin, et al.
Published: (2025-02-01) -
Decentralized and autonomous behavior decision-making for UAV cluster
by: HU Weijun, et al.
Published: (2024-12-01) -
Development and Validation of a Wave-Propelled Semi-submersible Unmanned Vehicle
by: Tian Yingyuan, et al.
Published: (2024-12-01) -
Autonomous decision-making method for ship maneuvering in complex waters of estuarine multi-class ships routeing system
by: HE Yixiong, et al.
Published: (2024-12-01) -
Underwater Drones as a Low-Cost, yet Powerful Tool for Underwater Archaeological Mapping: Case Studies from the Mediterranean
by: Eleni Diamanti, et al.
Published: (2025-01-01)