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Proceedings of 2024 International Conference on Artificial Intelligence and Autonomous Transportation: Volume I [Kõva köide]

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  • Formaat: Hardback, 571 pages, kõrgus x laius: 235x155 mm, 244 Illustrations, color; 68 Illustrations, black and white; X, 571 p. 312 illus., 244 illus. in color., 1 Hardback
  • Sari: Lecture Notes in Electrical Engineering 1389
  • Ilmumisaeg: 19-Apr-2025
  • Kirjastus: Springer Nature Switzerland AG
  • ISBN-10: 9819639565
  • ISBN-13: 9789819639564
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  • Formaat: Hardback, 571 pages, kõrgus x laius: 235x155 mm, 244 Illustrations, color; 68 Illustrations, black and white; X, 571 p. 312 illus., 244 illus. in color., 1 Hardback
  • Sari: Lecture Notes in Electrical Engineering 1389
  • Ilmumisaeg: 19-Apr-2025
  • Kirjastus: Springer Nature Switzerland AG
  • ISBN-10: 9819639565
  • ISBN-13: 9789819639564

This book reflects the latest research trends, methods and experimental results in the field of Artificial Intelligence and Autonomous Transportation, which covers abundant state-of-the-art research theories and ideas. As a vital research area that is highly relevant to current developments in a number of technological domains, the topics covered include Autonomous Transportation Systems, Autonomous Transportation Management and Control Technology, Autonomous Transportation Equipment Technology, Vehicular Networking and Information Security, Emerging Technologies and Future Mobility, Intelligent water transportation technology, Cross-Domain Transportation Technology, and so on. The goal of the proceedings is to provide a major interdisciplinary forum for researchers, engineers, academics, and industry professionals to present the most innovative research and development in the field of Artificial Intelligence and Autonomous Transportation. Engineers and researchers from academia, industry, and government will also explore an insight view of the solutions that combine ideas from multiple disciplines in this area. The volumes serve as an excellent reference work for researchers and graduate students working  in the areas of rail transportation, electrical engineering, and information technology.

Methods for State Sensing and Early Warning of Operating Conditions.-
Research on Workload Balance-oriented Method of Yard Planning for Fully
Automated Container Terminal .- Multimodal Trajectory Prediction for
Autonomous Driving on Unstructured Roads using Deep Convolutional Network.-
Study on driving risk through unsignalized intersection.- An Engineering
Evaluation Methodology of Heterogeneous Network for Highway Infrastructure
Monitoring Data Transmission Based on Graph Theory.- Adaptive background
residual correlation filters for UAV tracking.- Integrated Travel Service
Scheme for ComprehensiveTransportation Hub.- The Research and Application of
Gridded Tide Data Service.- Research on Model-Free Adaptive Iterative
Learning Control of Quadrotor Aerial Vehicle.- A Parameter Adaptive Model
Predictive Control for Virtual Coupling.