Intelligent Vehicles:
This book presents the results of the successful Sensors Special Issue on Intelligent Vehicles that received submissions between March 2019 and May 2020. The Guest Editors of this Special Issue are Dr. David Fernández-Llorca, Dr. Ignacio Parra-Alonso, Dr. Iván García-Daza and Dr. Noelia Parra-Alonso...
Gespeichert in:
| Weitere Verfasser: | , , , |
|---|---|
| Format: | Elektronisch E-Book |
| Sprache: | English |
| Veröffentlicht: |
Basel, Switzerland
MDPI - Multidisciplinary Digital Publishing Institute
[2020]
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| Schlagworte: | |
| Online-Zugang: | 20.500.12854/69334 Volltext kostenfrei |
| Zusammenfassung: | This book presents the results of the successful Sensors Special Issue on Intelligent Vehicles that received submissions between March 2019 and May 2020. The Guest Editors of this Special Issue are Dr. David Fernández-Llorca, Dr. Ignacio Parra-Alonso, Dr. Iván García-Daza and Dr. Noelia Parra-Alonso, all from the Computer Engineering Department at the University of Alcalá (Madrid, Spain). A total of 32 manuscripts were finally accepted between 2019 and 2020, presented by top researchers from all over the world. The reader will find a well-representative set of current research and developments related to sensors and sensing for intelligent vehicles. The topics of the published manuscripts can be grouped into seven main categories: (1) assistance systems and automatic vehicle operation, (2) vehicle positioning and localization, (3) fault diagnosis and fail-x systems, (4) perception and scene understanding, (5) smart regenerative braking systems for electric vehicles, (6) driver behavior modeling and (7) intelligent sensing. We, the Guest Editors, hope that the readers will find this book to contain interesting papers for their research, papers that they will enjoy reading as much as we have enjoyed organizing this Special Issue |
| Beschreibung: | This is a reprint of articles from the Special Issue published online in the open access journal Sensors (ISSN 1424-8220) (available at: https://www.mdpi.com/journal/sensors/special issues/intel veh) |
| Beschreibung: | 1 Online-Ressource (752 p.) |
| ISBN: | 9783039434039 |
| DOI: | 10.3390/books978-3-03943-403-9 |
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| 520 | 3 | |a This book presents the results of the successful Sensors Special Issue on Intelligent Vehicles that received submissions between March 2019 and May 2020. The Guest Editors of this Special Issue are Dr. David Fernández-Llorca, Dr. Ignacio Parra-Alonso, Dr. Iván García-Daza and Dr. Noelia Parra-Alonso, all from the Computer Engineering Department at the University of Alcalá (Madrid, Spain). A total of 32 manuscripts were finally accepted between 2019 and 2020, presented by top researchers from all over the world. The reader will find a well-representative set of current research and developments related to sensors and sensing for intelligent vehicles. The topics of the published manuscripts can be grouped into seven main categories: (1) assistance systems and automatic vehicle operation, (2) vehicle positioning and localization, (3) fault diagnosis and fail-x systems, (4) perception and scene understanding, (5) smart regenerative braking systems for electric vehicles, (6) driver behavior modeling and (7) intelligent sensing. We, the Guest Editors, hope that the readers will find this book to contain interesting papers for their research, papers that they will enjoy reading as much as we have enjoyed organizing this Special Issue | |
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| title | Intelligent Vehicles |
| title_auth | Intelligent Vehicles |
| title_exact_search | Intelligent Vehicles |
| title_exact_search_txtP | Intelligent Vehicles |
| title_full | Intelligent Vehicles edited by David Fernández-Llorca, Ignacio Parra Alonso, Iván García Daza and Noelia Hernández Parra |
| title_fullStr | Intelligent Vehicles edited by David Fernández-Llorca, Ignacio Parra Alonso, Iván García Daza and Noelia Hernández Parra |
| title_full_unstemmed | Intelligent Vehicles edited by David Fernández-Llorca, Ignacio Parra Alonso, Iván García Daza and Noelia Hernández Parra |
| title_short | Intelligent Vehicles |
| title_sort | intelligent vehicles |
| topic_facet | Aufsatzsammlung |
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