The Monthly Newsletter of IEEE Vehicular Technology Society—January 2024

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From the IEEE Transactions on Vehicular Technology
Performance of SRPT vs. Smith Predictor Approach
Jai Prakash, Michele Vignati, and Edoardo Sabbioni

Full title—Performance of Successive Reference Pose Tracking vs. Smith Predictor Approach for Direct Vehicle Teleoperation under Variable Network Delays

This paper compares the stability and performance of successive reference pose tracking (SRPT) with Smith predictor-based approach for direct vehicle teleoperation in challenging scenarios. The Smith predictor approach is further categorized, one with Lookahead driver and second with Stanley driver.

Simulations are conducted in a Simulink environment, considering variable network delays (250-350 ms) and different vehicle speeds (14-26 km/h), and include maneuvers such as tight corners, slalom, low-adhesion roads, and strong crosswinds.

The results show that the SRPT approach significantly improves stability and reference tracking performance, with negligible effect of network delays on path tracking.

Our findings demonstrate the effectiveness of SRPT in eliminating the detrimental effect of network delays in vehicle teleoperation.

Full Article: IEEE Transactions on Vehicular Technology, Early Access

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From the IEEE Transactions on Vehicular Technology
Performance of SRPT vs. Smith Predictor Approach
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