Proceedings of 3rd 2023 International Conference on Autonomous Unmanned Systems (3rd ICAUS 2023)
Volume VII
1st Edition
Published on 26. April 2024
VIII, 493 pages
978-981-97-1103-1 (ISBN)
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.
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.
More details
Series
Language
English
Place of publication
Singapore
Singapore
Publishing group
Springer Singapore
Target group
Professional and scholarly
Product notice
Reflowable
Illustrations
VIII, 493 p. 291 illus., 221 illus. in color.
File size
70,79 MB
ISBN-13
978-981-97-1103-1 (9789819711031)
DOI
10.1007/978-981-97-1103-1
Schweitzer Classification
Other editions
Additional editions
Yi Qu | Mancang Gu | Yifeng Niu
Proceedings of 3rd 2023 International Conference on Autonomous Unmanned Systems (3rd ICAUS 2023)
Volume VII
Book
04/2024
Springer
€267.49
Shipment within 3-4 weeks
Persons
Content
Chapter 1. A personalized ramp merging decision-making method for autonomous driving based on reverse reinforcement learning.- Chapter 2. An adaptive cruise hybrid control method for unmanned driving.- Chapter 3. Dynamic Quantitative Analysis for Large Scale Skid-steered UGV.- Chapter 4. An Optimization-based Path Planning Method for Unmanned Systems in Multi-obstacle Environments.- Chapter 5. An adaptability-based terrain costmap for heterogeneous vehicle swarm path planning.- Chapter 6. Attention encoder-decoder network based autonomous risk driving identification for connected heavy-duty vehicles.- Chapter 7. Loosely-coupled Camera-IMU-OGS fusion Localization.- Chapter 8. Multi-sensing pedestrian detection method based on an improved EPNet.- Chapter 9. Abrupt Lane Change Recognition Model Towards Autonomous Vehicle based on Lane Line Inclination.- Chapter 10. Path-oriented Green Wave Speed Control Model Towards Autonomous Vehicle, etc.
