Zobrazeno 1 - 10
of 10
pro vyhledávání: '"Prinkle Sharma"'
Publikováno v:
IEEE Access, Vol 12, Pp 86176-86193 (2024)
The surge in the number of driverless cars highlights the necessity for enhanced transportation safety and efficiency. Achieving fully autonomous driving depends on the ability of vehicles to comprehend environmental conditions and respond to collect
Externí odkaz:
https://doaj.org/article/731677d40f9c4a5292a05919be4da8aa
Autor:
Prinkle Sharma, James Gillanders
Publikováno v:
IEEE Access, Vol 10, Pp 108979-108996 (2022)
Connected Autonomous Vehicles (CAVs) are transformational technologies that have demonstrated significant potential for shaping the future of transportation systems. CAV research has been conducted extensively, both in academic and industrial pursuit
Externí odkaz:
https://doaj.org/article/e174e70d9e0c488a94778ceed16daa6d
Autor:
Prinkle Sharma, Sanjay Goel
Publikováno v:
World Scientific Series in Digital Forensics and Cybersecurity ISBN: 9789811273544
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::b589c61b71f8d71188a0baa1606c1683
https://doi.org/10.1142/13337
https://doi.org/10.1142/13337
Autor:
Hong Liu, Prinkle Sharma
Publikováno v:
IEEE Internet of Things Journal. 8:4991-4999
The Internet of Things (IoT) boosts road safety, efficiency, and infotainment by connecting vehicles to form the Internet of Vehicles (IoV). Specifically to safety, IoV complements autonomous cars beyond sensors’ line-of-sight, facilitating vehicle
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::809da26e5d4480c8b3c07ad4ac8e8cb8
https://doi.org/10.1109/jiot.2020.3035035
https://doi.org/10.1109/jiot.2020.3035035
Autor:
Prinkle Sharma, Sanjay Goel
A Practical Guide on Security and Privacy in Cyber-Physical Systems offers an in-depth look at the recent security and privacy challenges of Cyber-Physical Systems (CPS) in multiple application domains. It provides readers with a comprehensive view o
Publikováno v:
SP Workshops
Safety-critical applications in the cooperative vehicular networks are built to improve safety, traffic efficiency and handle emergencies by communicating the road condition captured using data from sensors (camera, LiDAR, RADAR, etc.). These cyber-p
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::2b4d93bad48e0ea3bec28bdc8b256b02
https://doi.org/10.1109/spw50608.2020.00055
https://doi.org/10.1109/spw50608.2020.00055
Publikováno v:
2019 IEEE International Symposium on Technologies for Homeland Security (HST).
Connected and autonomous vehicles (CAV a.k.a. driverless cars) offset human response for transportation infrastructure, enhancing traffic efficiency, travel leisure, and road safety. Behind the wheels of these mobile robots lies machine learning (ML)
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::b88e066e77f0b4b0d01b9494a03a5066
https://doi.org/10.1109/hst47167.2019.9032989
https://doi.org/10.1109/hst47167.2019.9032989
Publikováno v:
ICMLA
The safety and efficiency of vehicular communications rely on the correctness of the data exchanged between vehicles. In this paper we address the issue of detecting and classifying location spoofing misbehavior using the VeReMi dataset. We propose a
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::fa9dcabf93fd6d936d4e46d0385b1066
https://doi.org/10.1109/icmla.2018.00091
https://doi.org/10.1109/icmla.2018.00091
Publikováno v:
VTC-Fall
Vehicular Ad-hoc Networks (VANET) rely on Vehicle-to-Vehicle and Vehicle-to-Infrastructure communication to improve road safety and traffic efficiency. Therefore, malicious data could jeopardize the benefits of VANET communication. Hence, a data-cent
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::898db46babab9b5ca90da9ca076faf24
https://doi.org/10.1109/vtcfall.2018.8690964
https://doi.org/10.1109/vtcfall.2018.8690964
Publikováno v:
2017 IEEE International Symposium on Technologies for Homeland Security (HST).
This work applies artificial intelligence (AI) to secure wireless communications of Connected Vehicles. Vehicular Ad-hoc Network (VANET) facilitates exchange of safety messages for collision avoidance, leading to self-driving cars. An AI system conti
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::3e0f9a9251f26067ee63ff7419fe81fd
https://doi.org/10.1109/ths.2017.7943477
https://doi.org/10.1109/ths.2017.7943477