Proceedings of the 11th National Technical Seminar on Unmanned System Technology 2019

NUSYS'19
1. Auflage 2021
ISBN: 978-981-15-5283-0
Verlag: Springer Nature Singapore

Buch, Englisch, Band 666, 1263 Seiten, Format (B × H): 155 mm x 235 mm, Gewicht: 1933 g

Reihe: Lecture Notes in Electrical Engineering

This book includes research papers from the 11th National Technical Symposium on Unmanned System Technology. Covering a number of topics, including intelligent robotics, novel sensor technology, control algorithms, acoustics signal processing, imaging techniques, biomimetic robots, green energy sources, and underwater communication backbones and protocols, it will appeal to researchers developing marine technology solutions and policy-makers interested in technologies to facilitate the exploration of coastal and oceanic regions.

Zielgruppe

Research

Autoren/Hrsg.

Md Zain, Zainah

Ahmad, Hamzah

Pebrianti, Dwi

Mat Noh, Maziyah

Mustafa, Mahfuzah

Abdullah, Nor Rul Hasma

Samad, Rosdiyana

Fachgebiete

• Technische Wissenschaften Verkehrstechnik | Transportgewerbe Meerestechnik, ablandige Plattformen
• Geowissenschaften Geographie | Raumplanung Deltas, Flussmündungen, Küstenregionen
• Technische Wissenschaften Elektronik | Nachrichtentechnik Nachrichten- und Kommunikationstechnik Signalverarbeitung
• Technische Wissenschaften Technik Allgemein Mess- und Automatisierungstechnik

Inhaltsverzeichnis

1. Tracking Control Design for Micro Autonomous Underwater Vehicle Using Robust Filter Approach.- 2. Design and Development of Remotely Operated Pipeline Inspection Robot.- 3. Vision Optimization For Altitude Control And Object Tracking Control Of An Autonomous Underwater Vehicle (AUV).- 4. Development of Autonomous Underwater Vehicle Equipped with Object Recognition and Tracking System.- 5. Dual Image Fusion Technique for Underwater Image Contrast Enhancement.- 6. Red and Blue Channels Correction based on Green Channel and Median-based Dual-Intensity Images Fusion for Turbid Underwater Image Quality.- 7. Analysis of Pruned Neural Networks (MobileNetV2-YOLO v2) for Underwater Object Detection.- 8. Different Cell Decomposition Path Planning Methods for Unmanned Air Vehicles-A Review.- 9. lmproved Potential Field Method for Robot Path Planning with Path Pruning.- 10. Development of DugongBotUnderwater Drones using open-source Robotic Platform.