| 期刊全称 | AI-enabled Technologies for Autonomous and Connected Vehicles | | 影响因子2023 | Yi Lu Murphey,Ilya Kolmanovsky,Paul Watta | | 视频video | | | 发行地址 | Reports on cutting-edge technologies for automated driving.Describes advanced applications of machine learning, big data, AI and control.Discusses aspects related to safety, energy efficiency, and hum | | 学科分类 | Lecture Notes in Intelligent Transportation and Infrastructure | | 图书封面 |  | | 影响因子 | .This book reports on cutting-edge research and advances in the field of intelligent vehicle systems. It presents a broad range of AI-enabled technologies, with a focus on automated, autonomous and connected vehicle systems. It covers advanced machine learning technologies, including deep and reinforcement learning algorithms, transfer learning and learning from big data, as well as control theory applied to mobility and vehicle systems. Furthermore, it reports on cutting-edge technologies for environmental perception and vehicle-to-everything (V2X), discussing socioeconomic and environmental implications, and aspects related to human factors and energy-efficiency alike, of automated mobility. Gathering chapters written by renowned researchers and professionals, this book offers a good balance of theoretical and practical knowledge. It provides researchers, practitioners and policy makers with a comprehensive and timely guide on the field of autonomous driving technologies. . | | Pindex | Book 2023 |
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发表于 2025-3-21 18:59:31
