An adaptive model predictive approach for automated vehicle control in fallback procedure based on virtual vehicle scheme

An adaptive model predictive approach for automated vehicle control in fallback procedure based on virtual vehicle scheme

Purpose – Automated driving systems (ADSs) are being developed to avoid human error and improve driving safety. However, limited focus has been given to the fallback behavior of automated vehicles, which act as a fail-safe mechanism to deal with safety issues resulting from sensor failure. Therefore...

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Bibliographic Details
Main Authors: Wei Xue, Rencheng Zheng, Bo Yang, Zheng Wang, Tsutomu Kaizuka, Kimihiko Nakano
Format: Article
Language:English
Published: Tsinghua University Press 2020-11-01
Series:Journal of Intelligent and Connected Vehicles
Subjects:
model predictive control
automated vehicles
fallback
sensor failure
virtual vehicle scheme
Online Access:https://www.emerald.com/insight/content/doi/10.1108/JICV-06-2019-0007/full/pdf?title=an-adaptive-model-predictive-approach-for-automated-vehicle-control-in-fallback-procedure-based-on-virtual-vehicle-scheme

Internet

https://www.emerald.com/insight/content/doi/10.1108/JICV-06-2019-0007/full/pdf?title=an-adaptive-model-predictive-approach-for-automated-vehicle-control-in-fallback-procedure-based-on-virtual-vehicle-scheme

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