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Publication . Conference object . Part of book or chapter of book . 2021

Enhanced Security Framework for Enabling Facial Recognition in Autonomous Shuttles Public Transportation During COVID-19

Dimitris Tsiktsiris; Antonios Lalas; Minas Dasygenis; Konstantinos Votis; Dimitrios Tzovaras;
Closed Access
Published: 25 Jun 2021
Publisher: Springer International Publishing
Country: France
Abstract
Part 5: Autonomous Agents; International audience; Autonomous Vehicles (AVs) can potentially reduce the accident risk while a human is driving. They can also improve the public transportation by connecting city centers with main mass transit systems. The development of technologies that can provide a sense of security to the passenger when the driver is missing remains a challenging task. Moreover, such technologies are forced to adopt to the new reality formed by the COVID-19 pandemic, as it has created significant restrictions to passenger mobility through public transportation. In this work, an image-based approach, supported by novel AI algorithms, is proposed as a service to increase autonomy of non-fully autonomous people such as kids, grandparents and disabled people. The proposed real-time service, can identify family members via facial characteristics and efficiently ignore face masks, while providing notifications for their condition to their supervisor relatives. The envisioned AI-supported security framework, apart from enhancing the trust to autonomous mobility, could be advantageous in other applications also related to domestic security and defense.
Subjects by Vocabulary

Microsoft Academic Graph classification: Computer science Public transport business.industry business Computer security computer.software_genre computer Work (electrical) Task (project management) Supervisor Coronavirus disease 2019 (COVID-19) Autonomy media_common.quotation_subject media_common Facial recognition system Service (systems architecture)

ACM Computing Classification System: ComputerApplications_COMPUTERSINOTHERSYSTEMS

Subjects

Autonomous vehicles, Public transportation, Neural networks, Image processing, Security, [INFO]Computer Science [cs]

Related to Research communities
COVID-19
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https://doi.org/10.1007/978-3-...
Part of book or chapter of book . 2021
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