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An Evaluation of a State-Predictive Controller and a Jitter Buffer for Remote Controlled Autonomous Vehicles via the Internet | IEEE Conference Publication | IEEE Xplore

An Evaluation of a State-Predictive Controller and a Jitter Buffer for Remote Controlled Autonomous Vehicles via the Internet


Abstract:

In the age of Internet of Things, when various devices connect to communication networks, Unmanned Vehicle'.;;s (UV's) remote autonomous driving applications are attracti...Show More

Abstract:

In the age of Internet of Things, when various devices connect to communication networks, Unmanned Vehicle'.;;s (UV's) remote autonomous driving applications are attracting attention. Autonomous driving technology is expected to enable not only automobiles but also various interesting applications. Examples include patrol monitoring inside and outside a building by a small traveling vehicle loaded with surveillance cameras, delivery of goods on office floor, and traveling of wheelchairs. In the case of a traveling vehicle controlled remotely via the Internet, there is a problem that control stability is degraded due to packet transmission delay and its jitter. This belongs to the more general problem of stabilizing feedback control with “dead time” in the control theory. Many studies have shown that state-predictive controllers are effective against delay. Also, it has been shown that a jitter buffer is effective for delay jitter. Our research goal is to realize a system that controls multiple small vehicles via the Internet and a Wi-Fi. In the system, remote control can be disturbed by transmission delay and its jitter. And the faster the driving speed, the lower the stability of the traveling route. In this study, we carried out experiments with a UV simulator. We show experimental evaluation results of a state-predictive controller and a jitter buffer for improving the stability of the traveling route. We also clarified the maximum traveling speed of a UV, that can be achieved under conditions of transmission delay and its jitter.
Date of Conference: 16-18 October 2019
Date Added to IEEE Xplore: 27 December 2019
ISBN Information:
Print on Demand(PoD) ISSN: 2162-1233
Conference Location: Jeju, Korea (South)

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