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Surveying Off-Board and Extra-Vehicular Monitoring and Progress Towards Pervasive Diagnostics
arXiv - CS - Sound Pub Date : 2020-07-01 , DOI: arxiv-2007.03759
Joshua E. Siegel, Umberto Coda

We survey the state-of-the-art in offboard diagnostics for vehicles, their occupants, and environments, with particular focus on vibroacoustic approaches. We identify promising application areas including data-driven management for shared mobility and automated fleets, usage-based insurance, and vehicle,occupant, and environmental state and condition monitoring. We close by exploring the particular application of vibroacoustic monitoring to vehicle diagnostics and prognostics and propose the introduction of automated vehicle- and context-specific model selection as a means of improving algorithm performance, e.g. to enable smartphone-resident diagnostics. The described approach may serve as the first step in developing "universal diagnostics" utilizing artificial intelligence, with applicability extending beyond the automotive domain.

中文翻译:

调查车外和车外监测以及普及诊断的进展

我们调查了车辆、乘客和环境的车外诊断的最先进技术,特别关注振动声学方法。我们确定了有前景的应用领域,包括共享移动和自动化车队的数据驱动管理、基于使用的保险以及车辆、乘员以及环境状态和条件监控。我们通过探索振动声学监测在车辆诊断和预测中的特定应用来结束,并建议引入自动车辆和特定于上下文的模型选择作为提高算法性能的一种手段,例如实现智能手机居民诊断。所描述的方法可以作为利用人工智能开发“通用诊断”的第一步,其适用性超出了汽车领域。
更新日期:2020-07-09
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