Cloud and edge computing for connected and automated vehicles:
In this tutorial, experts from academia and industry introduce the trends and challenges of applying cloud and edge computing for CAVs, highlight representative works in the literature and discuss their limitations, present new promising solutions, and outline future directions in research and engin...
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| Main Author: | |
|---|---|
| Format: | Electronic eBook |
| Language: | English |
| Published: |
Boston ; Delft
Now Publishers
2023
|
| Series: | Foundations and trends in electronic design automation
Vol. 14, no. 1/2 |
| Online Access: | DE-91 |
| Summary: | In this tutorial, experts from academia and industry introduce the trends and challenges of applying cloud and edge computing for CAVs, highlight representative works in the literature and discuss their limitations, present new promising solutions, and outline future directions in research and engineering. Intro -- Introduction -- Mobility Digital Twins with Cloud and Edge Computing -- Concept for Mobility Digital Twin Framework -- Example Architecture for Mobility Digital Twin -- Application: Personalized Adaptive Cruise Control with Human/Vehicle/Traffic Digital Twins -- Summary -- Practical Deployments of Edge and Cloud Computing in CAVs -- Introduction -- Emerging Use Cases of CAVs -- Edge Architecture for CAVs -- Computer Architectures for CAVs -- Autonomous Driving Computing Acceleration on FPGAs -- Software Systems -- Cloud Architecture for CAVs -- Distributed Computing for Autonomous Driving -- Distributed Mapping -- Simulation-Centric Cloud System -- Safety and Security of Cloud- and Edge-enabled CAVs -- Addressing Safety for Cloud- and Edge-enabled CAVs -- Addressing Security for Cloud- and Edge-enabled CAVs -- References. |
| Item Description: | Description based on publisher supplied metadata and other sources |
| Physical Description: | 1 online resource (178 pages) |
| ISBN: | 9781638283034 |
Staff View
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| 520 | 3 | |a In this tutorial, experts from academia and industry introduce the trends and challenges of applying cloud and edge computing for CAVs, highlight representative works in the literature and discuss their limitations, present new promising solutions, and outline future directions in research and engineering. | |
| 520 | 3 | |a Intro -- Introduction -- Mobility Digital Twins with Cloud and Edge Computing -- Concept for Mobility Digital Twin Framework -- Example Architecture for Mobility Digital Twin -- Application: Personalized Adaptive Cruise Control with Human/Vehicle/Traffic Digital Twins -- Summary -- Practical Deployments of Edge and Cloud Computing in CAVs -- Introduction -- Emerging Use Cases of CAVs -- Edge Architecture for CAVs -- Computer Architectures for CAVs -- Autonomous Driving Computing Acceleration on FPGAs -- Software Systems -- Cloud Architecture for CAVs -- Distributed Computing for Autonomous Driving -- Distributed Mapping -- Simulation-Centric Cloud System -- Safety and Security of Cloud- and Edge-enabled CAVs -- Addressing Safety for Cloud- and Edge-enabled CAVs -- Addressing Security for Cloud- and Edge-enabled CAVs -- References. | |
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| id | DE-604.BV049673053 |
| illustrated | Not Illustrated |
| indexdate | 2024-07-20T07:30:01Z |
| institution | BVB |
| isbn | 9781638283034 |
| language | English |
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| oclc_num | 1437836226 |
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| owner_facet | DE-91 DE-BY-TUM |
| physical | 1 online resource (178 pages) |
| psigel | ebook |
| publishDate | 2023 |
| publishDateSearch | 2023 |
| publishDateSort | 2023 |
| publisher | Now Publishers |
| record_format | marc |
| series | Foundations and trends in electronic design automation |
| series2 | Foundations and trends in electronic design automation |
| spelling | Zhu, Qi Verfasser aut Cloud and edge computing for connected and automated vehicles Qi Zhu [und 8 weitere] Boston ; Delft Now Publishers 2023 1 online resource (178 pages) txt rdacontent c rdamedia cr rdacarrier Foundations and trends in electronic design automation Vol. 14, no. 1/2 Description based on publisher supplied metadata and other sources In this tutorial, experts from academia and industry introduce the trends and challenges of applying cloud and edge computing for CAVs, highlight representative works in the literature and discuss their limitations, present new promising solutions, and outline future directions in research and engineering. Intro -- Introduction -- Mobility Digital Twins with Cloud and Edge Computing -- Concept for Mobility Digital Twin Framework -- Example Architecture for Mobility Digital Twin -- Application: Personalized Adaptive Cruise Control with Human/Vehicle/Traffic Digital Twins -- Summary -- Practical Deployments of Edge and Cloud Computing in CAVs -- Introduction -- Emerging Use Cases of CAVs -- Edge Architecture for CAVs -- Computer Architectures for CAVs -- Autonomous Driving Computing Acceleration on FPGAs -- Software Systems -- Cloud Architecture for CAVs -- Distributed Computing for Autonomous Driving -- Distributed Mapping -- Simulation-Centric Cloud System -- Safety and Security of Cloud- and Edge-enabled CAVs -- Addressing Safety for Cloud- and Edge-enabled CAVs -- Addressing Security for Cloud- and Edge-enabled CAVs -- References. Erscheint auch als Druck-Ausgabe 978-1-63828-302-7 Foundations and trends in electronic design automation Vol. 14, no. 1/2 (DE-604)BV023013044 14,1 2 |
| spellingShingle | Zhu, Qi Cloud and edge computing for connected and automated vehicles Foundations and trends in electronic design automation |
| title | Cloud and edge computing for connected and automated vehicles |
| title_auth | Cloud and edge computing for connected and automated vehicles |
| title_exact_search | Cloud and edge computing for connected and automated vehicles |
| title_full | Cloud and edge computing for connected and automated vehicles Qi Zhu [und 8 weitere] |
| title_fullStr | Cloud and edge computing for connected and automated vehicles Qi Zhu [und 8 weitere] |
| title_full_unstemmed | Cloud and edge computing for connected and automated vehicles Qi Zhu [und 8 weitere] |
| title_short | Cloud and edge computing for connected and automated vehicles |
| title_sort | cloud and edge computing for connected and automated vehicles |
| volume_link | (DE-604)BV023013044 |
| work_keys_str_mv | AT zhuqi cloudandedgecomputingforconnectedandautomatedvehicles |