Intelligent Sensors for Smart and Autonomous Vehicles
This Reprint highlights recent advances in intelligent sensors for smart and autonomous vehicles, emphasizing their essential role in perception, localization, and decision-making. It presents progress in sensor fusion, edge AI, and adaptive sensing, while identifying challenges related to robustnes...
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| Formato: | Online |
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| Idioma: | inglês |
| Publicado em: |
MDPI - Multidisciplinary Digital Publishing Institute
2026
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| Assuntos: | |
| Acesso em linha: | ONIX_20260416T142754_9783725864409_27 |
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| _version_ | 1869522954246684672 |
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| collection | Directory of Open Access Books |
| description | This Reprint highlights recent advances in intelligent sensors for smart and autonomous vehicles, emphasizing their essential role in perception, localization, and decision-making. It presents progress in sensor fusion, edge AI, and adaptive sensing, while identifying challenges related to robustness, calibration, latency, and cybersecurity. Future research should focus on verifiable, uncertainty-aware multimodal systems to ensure safer, more reliable, and efficient autonomous driving. |
| format | Online |
| id | doab-20.500.12854ir-175372 |
| institution | Directory of Open Access Books |
| language | eng |
| publishDate | 2026 |
| publishDateRange | 2026 |
| publishDateSort | 2026 |
| publisher | MDPI - Multidisciplinary Digital Publishing Institute |
| publisherStr | MDPI - Multidisciplinary Digital Publishing Institute |
| record_format | ojs |
| spelling | doab-20.500.12854ir-1753722026-04-16T20:31:30Z Intelligent Sensors for Smart and Autonomous Vehicles Barabás, István Iclodean, Calin Zöldy, Máté Intelligent sensors Sensors fusion Autonomous driving Artificial intelligence Machine learning Big data processing Virtual reality Cloud computing Edge computing thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TB Technology: general issues::TBX History of engineering and technology This Reprint highlights recent advances in intelligent sensors for smart and autonomous vehicles, emphasizing their essential role in perception, localization, and decision-making. It presents progress in sensor fusion, edge AI, and adaptive sensing, while identifying challenges related to robustness, calibration, latency, and cybersecurity. Future research should focus on verifiable, uncertainty-aware multimodal systems to ensure safer, more reliable, and efficient autonomous driving. 2026-04-16T20:31:21Z 2026-04-16T20:31:21Z 2026 book ONIX_20260416T142754_9783725864409_27 9783725864409 9783725864416 https://directory.doabooks.org/handle/20.500.12854/175372 eng application/octet-stream Attribution 4.0 International https://mdpi.com/books/ https://mdpi.com/books/pdfview/book/12287 MDPI - Multidisciplinary Digital Publishing Institute 10.3390/books978-3-7258-6441-6 10.3390/books978-3-7258-6441-6 46cabcaa-dd94-4bfe-87b4-55023c1b36d0 9783725864409 9783725864416 340 CH open access |
| spellingShingle | Intelligent sensors Sensors fusion Autonomous driving Artificial intelligence Machine learning Big data processing Virtual reality Cloud computing Edge computing thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TB Technology: general issues::TBX History of engineering and technology Intelligent Sensors for Smart and Autonomous Vehicles |
| title | Intelligent Sensors for Smart and Autonomous Vehicles |
| title_full | Intelligent Sensors for Smart and Autonomous Vehicles |
| title_fullStr | Intelligent Sensors for Smart and Autonomous Vehicles |
| title_full_unstemmed | Intelligent Sensors for Smart and Autonomous Vehicles |
| title_short | Intelligent Sensors for Smart and Autonomous Vehicles |
| title_sort | intelligent sensors for smart and autonomous vehicles |
| topic | Intelligent sensors Sensors fusion Autonomous driving Artificial intelligence Machine learning Big data processing Virtual reality Cloud computing Edge computing thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TB Technology: general issues::TBX History of engineering and technology |
| topic_facet | Intelligent sensors Sensors fusion Autonomous driving Artificial intelligence Machine learning Big data processing Virtual reality Cloud computing Edge computing thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TB Technology: general issues::TBX History of engineering and technology |
| url | ONIX_20260416T142754_9783725864409_27 |