Virtual Safe: Unauthorized Walking Behavior Detection for Mobile Devices

Shen, Dakun; Markwood, Ian; Liu, Yao

doi:10.1109/tmc.2018.2843801

Cited by 2 publications

(2 citation statements)

References 16 publications

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“…They are used for tracking the location of the vehicle to prevent theft of the vehicle. There has been a lot of research on the problem of vehicle anti-theft systems [112,113,[115][116][117][118][119]. Some of the works used GPS to track vehicle location and a global system for mobile communications (GSM) system to notify the owner when vehicle location changes [115] (see Figure 12).…”

Section: Intelligent Safety Systemsmentioning

confidence: 99%

“…In this scenario, there is the risk of intrusion into the vehicle or even theft. Anti‐theft security monitoring systems are a very critical necessity in many applications, including street lamps [111], human interaction [112, 113] and even vehicles [114]. Today, vehicles employ a tracking system that utilizes electronic devices installed in them.…”

Section: Metaverse In Data‐driven Intelligent Transportation Systemsmentioning

confidence: 99%

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Prospects and challenges of Metaverse application in data‐driven intelligent transportation systems

Njoku

Nwakanma

Amaizu

et al. 2022

IET Intelligent Trans Sys

131

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The Metaverse is a concept used to refer to a virtual world that exists in parallel to the physical world. It has grown from a conceptual level to having real applications in virtual reality games. The applicability of the Metaverse in numerous sectors like marketing, education, social, and even advertising exists. However, there exists little or no work on Metaverse applicability to the transportation industry. Data‐driven intelligent transportation systems (DDITS) aim to provide more intelligent systems based on exploiting data. This paper reviews the concepts and features of the Metaverse. Also, the review goes over three dominant DDITS challenges: vehicle fault detection and repair, testing new technologies, and anti‐theft systems. In addition, it highlights prospective Metaverse solutions that apply to the DDITS. Buttressing the utility of Metaverse in DDITS, this paper presents two major case studies: the invisible to visible (I2V) and the Metaverse on Wheels (MoW) technologies. Finally, the influence, limitations, and open issues of Metaverse applications to DDITS are discussed.

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