A FrameBuffer Oriented Graphical Human-Machine Interaction Mechanism for Intelligent In-Vehicle Systems

Wang, Zhenjiang; Han, Jian-Jun; Miao, Tianpeng

doi:10.1109/ithings/greencom/cpscom/smartdata.2019.00054

Cited by 1 publication

(1 citation statement)

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“…In this way, the HMIs have to dynamically update and adapt display screens and support elements to facilitate the work of the operators like IO fields and buttons [163]. The authors in [164], proposed a graphical HMI mechanism for intelligent and connected in-vehicle systems in order to offer a better experience to automotive users. While in [165], the authors presented a way of connecting an HMI with a software model of an embedded control system and thermodynamic models in a hybrid cosimulation.…”

Section: Behavioral Layermentioning

confidence: 99%

Empowering cyberphysical systems of systems with intelligence

Nousias¹,

Piperigkos²,

Arvanitis³

et al. 2021

Preprint

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Cyber Physical Systems have been going into a transition phase from individual systems to a collecttives of systems that collaborate in order to achieve a highly complex cause, realizing a system of systems approach. The automotive domain has been making a transition to the system of system approach aiming to provide a series of emergent functionality like traffic management, collaborative car fleet management or large-scale automotive adaptation to physical environment thus providing significant environmental benefits (e.g air pollution reduction) and achieving significant societal impact. Similarly, large infrastructure domains, are evolving into global, highly integrated cyber-physical systems of systems covering all parts of the value chain. In practice, there are significant challenges in CPSoS applicability and usability to be addressed, i.e. even a small CPSoS such as a car consists several subsystems Decentralization of CPSoS appoints tasks to individual CPSs within the System of Systems. CPSoSs are heterogenous systems. They comprise of various, autonomous, CPSs, each one of them having unique performance capabilities, criticality level, priorities and pursued goals. all CPSs must also harmonically pursue systembased achievements and collaborate in order to make system-ofsystem based decisions and implement the CPSoS functionality. This survey will provide a comprehensive review on current best practices in connected cyberphysical systems. The basis of our investigation is a dual layer architecture encompassing a perception layer and a behavioral layer. Perception algorithms with respect to scene understanding (object detection and tracking, pose estimation), localization mapping and path planning are thoroughly investigated. Behavioural part focuses on decision making and human in the loop control.

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Section: Behavioral Layermentioning

confidence: 99%