Fail-Safe Behavior and Motion Planning Incorporating Shared Control for Potential Driver Intervention

Xue, Wei; Wang, Zheng; Zheng, Rencheng; Mei, Xutao; Yang, Bo; Nakano, Kimihiko

doi:10.1109/tiv.2023.3271823

Cited by 6 publications

(1 citation statement)

References 41 publications

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“…Recording and monitoring the entire vehicle life cycle can facilitate quickly identifying and resolving problems. Secondly, IoV cannot fully obtain the behavioral data of all drivers, hindering its ability to accurately predict the following actions of the vehicle [7]. Current traffic condition predictions typically cover only local road sections.…”

Section: Introductionmentioning

confidence: 99%

Digital Twin-Enabled Internet of Vehicles Applications

Gao,

Peng,

Yoshinaga

et al. 2024

Electronics

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The digital twin (DT) paradigm represents a groundbreaking shift in the Internet of Vehicles (IoV) landscape, acting as an instantaneous digital replica of physical entities. This synthesis not only refines vehicular design but also substantially augments driver support systems and streamlines traffic governance. Diverging from the prevalent research which predominantly examines DT’s technical assimilation within IoV infrastructures, this review focuses on the specific deployments and goals of DT within the IoV sphere. Through an extensive review of scholarly works from the past 5 years, this paper provides a fresh and detailed perspective on the significance of DT in the realm of IoV. The applications are methodically categorized across four pivotal sectors: industrial manufacturing, driver assistance technology, intelligent transportation networks, and resource administration. This classification sheds light on DT’s diverse capabilities to confront and adapt to the intricate challenges in contemporary vehicular networks. The intent of this comprehensive overview is to catalyze innovation within IoV by providing an essential reference for researchers who aspire to swiftly grasp the complex dynamics of this evolving domain.

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Section: Introductionmentioning

confidence: 99%