| Autor: |
Kaya Kuru |
| Jazyk: |
angličtina |
| Rok vydání: |
2021 |
| Předmět: |
|
| Zdroj: |
IEEE Open Journal of Intelligent Transportation Systems, Vol 2, Pp 448-469 (2021) |
| Druh dokumentu: |
article |
| ISSN: |
2687-7813 |
| DOI: |
10.1109/OJITS.2021.3132725 |
| Popis: |
The automotive industry aims to deploy commercial level-5 fully autonomous self-driving vehicles (FA-SDVs) in a diverse range of benefit-driven concepts on city roads in the years to come. In all future visions of operating networks of FA-SDVs, humans are expected to intervene with some kind of remote supervisory role. Recent advances in cyber-physical systems (CPS) within the concept of Internet of Everything (IoE) using tactile Internet (TI) teleport us to teleoperate remote objects within the cyber-world. Human-on-the-loop (HOTL) haptic teleoperation with an extension of human control and sensing capability by coupling with artificial sensors and actuators with an increased sense of real-time driving in the remote vehicle can help overcome the challenging tasks when the new driver — artificial intelligence (AI) agent — encounters an unorthodox situation that can’t be addressed by the autonomous capabilities. This paper analyses HOTL real-time haptic delay-sensitive teleoperation with FA-SDVs, in the aspects of human-vehicle teamwork by establishing two similar remote parallel worlds — real-world vehicle time-varying environment and cyber-world emulation of this environment, i.e., digital twins (DTs) — in which a human telesupervisor (HTS), as a biological agent, can be immersed with no cybersickness enabling omnipresence through a timely bidirectional flow of energy and information. The experiments conducted as a proof of concept of HOTL haptic teleoperation regarding learning with human-vehicle collaboration show promising results and the potential of benefiting from the proposed framework. |
| Databáze: |
Directory of Open Access Journals |
| Externí odkaz: |
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