Qu / Fu / Gu | Proceedings of 3rd 2023 International Conference on Autonomous Unmanned Systems (3rd ICAUS 2023) | Buch | 978-981-97-1105-5 | sack.de

Buch, Englisch, 493 Seiten, Format (B × H): 155 mm x 235 mm, Gewicht: 756 g

Reihe: Lecture Notes in Electrical Engineering

Qu / Fu / Gu

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

Volume VII
Erscheinungsjahr 2025
ISBN: 978-981-97-1105-5
Verlag: Springer Nature Singapore

Volume VII

Buch, Englisch, 493 Seiten, Format (B × H): 155 mm x 235 mm, Gewicht: 756 g

Reihe: Lecture Notes in Electrical Engineering

ISBN: 978-981-97-1105-5
Verlag: Springer Nature Singapore

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.
Qu / Fu / Gu Proceedings of 3rd 2023 International Conference on Autonomous Unmanned Systems (3rd ICAUS 2023) jetzt bestellen!

Zielgruppe

Research

Autoren/Hrsg.

Qu, Yi
Fu, Wenxing
Gu, Mancang
Niu, Yifeng

Fachgebiete

Weitere Infos & Material

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.

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