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Proceedings of 3rd 2023 International Conference on Autonomous Unmanned Systems (3rd ICAUS 2023) -

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

Volume VII
Buch | Hardcover
493 Seiten
2024 | 2024 ed.
Springer Verlag, Singapore
978-981-97-1102-4 (ISBN)
CHF 369,95 inkl. MwSt
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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.

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.

Erscheinungsdatum
Reihe/Serie Lecture Notes in Electrical Engineering
Zusatzinfo 221 Illustrations, color; 70 Illustrations, black and white
Verlagsort Singapore
Sprache englisch
Maße 155 x 235 mm
Themenwelt Informatik Theorie / Studium Künstliche Intelligenz / Robotik
Technik Elektrotechnik / Energietechnik
Technik Nachrichtentechnik
ISBN-10 981-97-1102-9 / 9819711029
ISBN-13 978-981-97-1102-4 / 9789819711024
Zustand Neuware
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