04531nam a22006375i 4500 978-981-97-1103-1 DE-He213 20251030112014.0 cr nn 008mamaa 240426s2024 si | s |||| 0|eng d 9789819711031 978-981-97-1103-1 10.1007/978-981-97-1103-1 doi TJ212-225 TJ210.2-211.495 TJFM bicssc TEC007000 bisacsh TJFM thema Proceedings of 3rd 2023 International Conference on Autonomous Unmanned Systems (3rd ICAUS 2023) [electronic resource] : Volume VII / edited by Yi Qu, Mancang Gu, Yifeng Niu, Wenxing Fu. 1st ed. 2024. Singapore : Springer Nature Singapore : Imprint: Springer, 2024. VIII, 493 p. 291 illus., 221 illus. in color. online resource. text txt rdacontent computer c rdamedia online resource cr rdacarrier text file PDF rda Lecture Notes in Electrical Engineering, 1876-1119 ; 1177 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. 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. Control engineering. Robotics. 59148 Automation. 59149 Computational intelligence. 64052 Telecommunication. Artificial intelligence. 58441 Control, Robotics, Automation. Computational Intelligence. 64052 Communications Engineering, Networks. Artificial Intelligence. 58441 Qu, Yi. editor. edt http://id.loc.gov/vocabulary/relators/edt 75333 Gu, Mancang. editor. edt http://id.loc.gov/vocabulary/relators/edt 75334 Niu, Yifeng. editor. edt http://id.loc.gov/vocabulary/relators/edt 75335 Fu, Wenxing. editor. edt http://id.loc.gov/vocabulary/relators/edt 75336 SpringerLink (Online service) Springer Nature eBook Printed edition: 9789819711024 Printed edition: 9789819711048 Printed edition: 9789819711055 Lecture Notes in Electrical Engineering, 1876-1119 ; 1177 https://doi.org/10.1007/978-981-97-1103-1 ZDB-2-INR ZDB-2-SXIT 59432 59432