
| Judul | Autonomous Vehicles and Robotics / Nan Ma,; Taohong Zhang, ; Yang Yang |
| Pengarang | Ma,Nan Zhang, Taohong Yang, Yang |
| Penerbitan | Basel, Switzerland : MDPI - Multidisciplinary Digital Publishing Institute, 2026 |
| Deskripsi Fisik | 206 :ilus ;24 cm |
| ISBN | 978-3-7258-7558-0 |
| Subjek | ROBOTICS |
| Catatan | This Special Issue focuses on cutting-edge research in autonomous vehicle software, robotic perception, and intelligent interaction. Topics include software vulnerability assessment, risk and threat analysis, visual understanding, machine vision, and advanced human–vehicle interaction, highlighting the technological and practical challenges in realizing fully autonomous and connected mobility systems. By bringing together innovative studies and insights, this Special Issue provides a comprehensive view of the latest advancements in autonomous vehicle technologies and their implications for the future of transportation, offering valuable knowledge for researchers, engineers, and industry leaders. |
| Bentuk Karya | Tidak ada kode yang sesuai |
| Target Pembaca | Tidak ada kode yang sesuai |
| Lokasi Akses Online |
https://mdpi-res.com/bookfiles/book/12731/Autonomous_Vehicles_and_Robotics.pdf?v=1788830142 |
| No Barcode | No. Panggil | Akses | Lokasi | Ketersediaan |
|---|---|---|---|---|
| 338926192 | 629.8 Ma, a | Baca Online | Perpustakaan Pusat - Online Resources Ebook |
Tersedia |
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| 260 | # | # | $a Basel, Switzerland :$b MDPI - Multidisciplinary Digital Publishing Institute,$c 2026 |
| 300 | # | # | $a 206 : $b ilus ; $c 24 cm |
| 505 | # | # | $a This Special Issue focuses on cutting-edge research in autonomous vehicle software, robotic perception, and intelligent interaction. Topics include software vulnerability assessment, risk and threat analysis, visual understanding, machine vision, and advanced human–vehicle interaction, highlighting the technological and practical challenges in realizing fully autonomous and connected mobility systems. By bringing together innovative studies and insights, this Special Issue provides a comprehensive view of the latest advancements in autonomous vehicle technologies and their implications for the future of transportation, offering valuable knowledge for researchers, engineers, and industry leaders. |
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| 700 | 0 | # | $a Yang, Yang |
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