AI-enabled Technologies for Autonomous and Connected Vehicles
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 reinfor...
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| Outros Autores: | , , |
| Formato: | Recurso Eletrônico livro eletrônico |
| Idioma: | inglês |
| Publicado em: |
Cham :
Springer International Publishing : Imprint: Springer,
2023.
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| Edição: | 1st ed. 2023. |
| coleção: | Lecture Notes in Intelligent Transportation and Infrastructure,
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| Assuntos: | |
| Acesso em linha: | https://doi.org/10.1007/978-3-031-06780-8 |
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| 245 | 1 | 0 | |a AI-enabled Technologies for Autonomous and Connected Vehicles |h [electronic resource] / |c edited by Yi Lu Murphey, Ilya Kolmanovsky, Paul Watta. |
| 250 | |a 1st ed. 2023. | ||
| 264 | 1 | |a Cham : |b Springer International Publishing : |b Imprint: Springer, |c 2023. | |
| 300 | |a VIII, 567 p. 265 illus., 252 illus. in color. |b online resource. | ||
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| 490 | 1 | |a Lecture Notes in Intelligent Transportation and Infrastructure, |x 2523-3459 | |
| 505 | 0 | |a Advances, Opportunities and Challenges in AI-enabled Technologies for Autonomous and Connected Vehicles -- Semi-autonomous Truck Platooning with a Lean Sensor Package -- Environmental Perception for Intelligent Vehicles -- 3D Object Detection for Autonomous Driving. . | |
| 520 | |a 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. . | ||
| 650 | 0 | |a Automotive engineering. | |
| 650 | 0 | |a Computational intelligence. | |
| 650 | 0 | |a Transportation engineering. | |
| 650 | 0 | |a Traffic engineering. | |
| 650 | 0 | |a Human-machine systems. | |
| 650 | 1 | 4 | |a Automotive Engineering. |
| 650 | 2 | 4 | |a Computational Intelligence. |
| 650 | 2 | 4 | |a Transportation Technology and Traffic Engineering. |
| 650 | 2 | 4 | |a Human-Machine Interfaces. |
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| 700 | 1 | |a Kolmanovsky, Ilya. |e editor. |0 (orcid)0000-0002-7225-4160 |1 https://orcid.org/0000-0002-7225-4160 |4 edt |4 http://id.loc.gov/vocabulary/relators/edt | |
| 700 | 1 | |a Watta, Paul. |e editor. |4 edt |4 http://id.loc.gov/vocabulary/relators/edt | |
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| 830 | 0 | |a Lecture Notes in Intelligent Transportation and Infrastructure, |x 2523-3459 | |
| 856 | 4 | 0 | |u https://doi.org/10.1007/978-3-031-06780-8 |
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| 950 | |a Engineering (R0) (SpringerNature-43712) | ||