Muutke küpsiste eelistusi

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

Edited by , Edited by , Edited by , Edited by , Edited by , Edited by
  • Formaat: Hardback, 513 pages, kõrgus x laius: 235x155 mm, 209 Illustrations, color; 41 Illustrations, black and white; X, 513 p. 250 illus., 209 illus. in color., 1 Hardback
  • Sari: Lecture Notes in Electrical Engineering 1394
  • Ilmumisaeg: 02-Apr-2025
  • Kirjastus: Springer Nature Switzerland AG
  • ISBN-10: 981963976X
  • ISBN-13: 9789819639762
  • Kõva köide
  • Hind: 261,79 €*
  • * hind on lõplik, st. muud allahindlused enam ei rakendu
  • Tavahind: 307,99 €
  • Säästad 15%
  • Raamatu kohalejõudmiseks kirjastusest kulub orienteeruvalt 2-4 nädalat
  • Kogus:
  • Lisa ostukorvi
  • Tasuta tarne
  • Tellimisaeg 2-4 nädalat
  • Lisa soovinimekirja
  • Formaat: Hardback, 513 pages, kõrgus x laius: 235x155 mm, 209 Illustrations, color; 41 Illustrations, black and white; X, 513 p. 250 illus., 209 illus. in color., 1 Hardback
  • Sari: Lecture Notes in Electrical Engineering 1394
  • Ilmumisaeg: 02-Apr-2025
  • Kirjastus: Springer Nature Switzerland AG
  • ISBN-10: 981963976X
  • ISBN-13: 9789819639762

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.

Enhancing Ramp Merging Efficiency in Mixed Traffic:A Social
Value-Oriented Approach for CAVs.- D-DetPose: Object detection and pose
estimation based on diffusion model in roadside view.- Enhanced Small Object
Detection Algorithm in Traffic Scenes.- Planar Pose Control of Robotic Fish
Based on Deep Reinforcement Learning.- Pantograph Frequency Response
Characterization Study.- Auto-Weighted Multi-View Learning for Community
Detection: A Laplacian-Constrained Approach.- Autonomous identification of
traffic risks in flight area based on time-varying interval.- Fixed-time
prescribed performance control for USV trajectory tracking considering
external disturbance.- DRL-Based Passenger Boarding-Alighting Simulation in
Subway Station.- Automatic Generation Method for Autonomous Driving
Simulation Scenarios based on Large Language Model.