Criticality-Aware Load-Balanced Scheduling Algorithm for Teleoperated Vehicles Controlled over Vehicle-to-Infrastructure Network
Teleoperation is drawing attention as a complementary technology for autonomous driving to ensure a safe and reliable transportation. Human teleoperators making decisions based on real-time videos may serve as a fallback solution for corner cases where autonomous driving algorithms do not operate we...
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Published in | IEEE Vehicular Technology Conference pp. 1 - 6 |
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Main Authors | , |
Format | Conference Proceeding |
Language | English |
Published |
IEEE
07.10.2024
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Subjects | |
Online Access | Get full text |
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Summary: | Teleoperation is drawing attention as a complementary technology for autonomous driving to ensure a safe and reliable transportation. Human teleoperators making decisions based on real-time videos may serve as a fallback solution for corner cases where autonomous driving algorithms do not operate well. However, teleoperation comes with its own challenges such as limited network bandwidth and latency of Vehicular Ad Hoc Network (VANET). In this paper, we investigate a scenario comprising multiple teleoperated vehicles under such network circumstances. The real-time videos from the vehicle to the teleoperator and the commands are both subject to real-time constraints. We propose a Criticality-Aware Load-Balanced Scheduling for Vehicles (V-CALBS) algorithm with VANET management and packet scheduling, capable of greatly increasing Time-To-Collision (TTC) and thus enhancing the safety of the vehicles and the reliability of the traffic. |
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ISSN: | 2577-2465 |
DOI: | 10.1109/VTC2024-Fall63153.2024.10757605 |