Proceedings of 3rd 2023 International Conference on Autonomous Unmanned Systems (3rd ICAUS 2023) : Volume VI

著者名：Qu, Yi (EDT)/Gu, Mancang (EDT)/Niu, Yifeng (EDT)/Fu, Wenxing (EDT)

Springer（2024/04/26発売）

• 言語：ENG
• ISBN：9789819710980
• eISBN：9789819710997

Description

This book includes original, peer-reviewed research papers from the 3rd ICAUS 2023, which provides a unique and engaging platform for scientists, engineers and practitioners from all over the world to present and share their most recent research results and innovative ideas. The 3rd ICAUS 2023 aims to stimulate researchers working in areas relevant to intelligent unmanned systems. 

Topics covered include but are not limited to: Unmanned Aerial/Ground/Surface/Underwater Systems, Robotic, Autonomous Control/Navigation and Positioning/ Architecture, Energy and Task Planning and Effectiveness Evaluation Technologies, Artificial Intelligence Algorithm/Bionic Technology and their Application in Unmanned Systems.

The papers presented here share the latest findings in unmanned systems, robotics, automation, intelligent systems, control systems, integrated networks, modelling and simulation. This makes the book a valuable resource for researchers, engineers and students alike.

Table of Contents

Chapter 1. Improved Factor Graph Algorithm for Adaptive Weight Function Based on Residual Adjustment.- Chapter 2. Design of Dual-rotor Vehicle Controller Based on Auto Disturbance Rejection.- Chapter 3. SLAM Loopback Detection and Down Sampling Optimization in Unattended Patrol Environment.- Chapter 4. OC-DWA: an improved dynamic window approach for USV online planning considering ocean currents.- Chapter 5. A Lightweight RGB-D Image-Based 3D Object Detector for Mobile Robots.- Chapter 6. Adaptive Control of Path Tracking Based on Improved Pure Pursuit Algorithm.- Chapter 7. LuoJia-Explorer: Unmanned Collaborative Localization and Mapping System.- Chapter 8. An effectiveness evaluation methodology of reconnaissance/strike UAV formation based on OODA.- Chapter 9. Fast Autonomous Exploration with Sparse Topological Graphs in Large-Scale Environments.- Chapter 10. LiDAR-based small-sized obstacles detection for mobile robot, etc.