Human machine interface for future cars. Changes needed

Rozhdestvenskiy, Dmitry; Bouchner, Petr

doi:10.1109/scsp.2017.7973863

Cited by 11 publications

(3 citation statements)

References 2 publications

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“…The achieved results shown on illustrative examples can be seen as a feasibility of these methods to tackle difficult complex systems [11,13]. The illustrative examples given above can be extended into more dimensional case.…”

Section: Resultsmentioning

confidence: 98%

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Physics-Information Analogies

Svítek¹

2018

NNW

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The paper presents a theory of information systems based on advanced analogies with both classical and quantum physical models. In the first step the information analogies with magneto-electric circuits are introduced and the information parameters are defined under this inspiration. Well-known potential and flow values (e.g. potential and kinetic energy, voltage and electrical current, etc.) are transformed into information values, "information content" and "information flow". In the second step the quantum information models are introduced together with values "wave information flow" and "wave information content". By using these variables, the complex information models are described in more detail together with illustrative examples.

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Section: Resultsmentioning

confidence: 98%

“…The better input information 1 1 , I  the better control strategy 2 2 , I  and so on. The performance parameters [13] can be used for complex system assessment.…”

Section: Fig 5 the Information Extraction From The Real Systemmentioning

confidence: 99%

Physics-Information Analogies

Svítek¹

2018

NNW

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“…An important the trend in analyzing a human as a consumer of information provided by vehicle produces a rapid change (and the lack of standardization) of the interfaces caused by new “smart” features of the modern vehicles. As [ 19 ] points out, until the beginning of the 21st century the composition of the physical buttons and mechanical gauge were more or less the same for any brand, while DAS, infotainment and navigation systems add a new layer of complexity and interactivity and dramatically change cognitive models. These changes require new standardized interface solutions, especially today, where young urban inhabitant is moving away from car ownership towards the “pay as you go” paradigm [ 19 ].…”

Section: Related Workmentioning

confidence: 99%

In-Vehicle Situation Monitoring for Potential Threats Detection Based on Smartphone Sensors

Kashevnik

Ponomarev

Shilov

et al. 2020

Sensors

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This paper presents an analysis of modern research related to potential threats in a vehicle cabin, which is based on situation monitoring during vehicle control and the interaction of the driver with intelligent transportation systems (ITS). In the modern world, such systems enable the detection of potentially dangerous situations on the road, reducing accident probability. However, at the same time, such systems increase vulnerabilities in vehicles and can be sources of different threats. In this paper, we consider the primary information flows between the driver, vehicle, and infrastructure in modern ITS, and identify possible threats related to these entities. We define threat classes related to vehicle control and discuss which of them can be detected by smartphone sensors. We present a case study that supports our findings and shows the main use cases for threat identification using smartphone sensors: Drowsiness, distraction, unfastened belt, eating, drinking, and smartphone use.

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Understanding of Drivers Speed Decisions to Improve Traffic Management on Highways of the Future

Matowicki

Přibyl

2018

Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering

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Human machine interface for future cars. Changes needed

Cited by 11 publications

References 2 publications

Physics-Information Analogies

Physics-Information Analogies

In-Vehicle Situation Monitoring for Potential Threats Detection Based on Smartphone Sensors

Understanding of Drivers Speed Decisions to Improve Traffic Management on Highways of the Future

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