Blind Driving by Means of a Steering-Based Predictor Algorithm

Bazilinskyy, Pavlo; Beaumont, Charles; Geest, Xander van der; Jonge, Reinier de; Kroft, Koen van der; Winter, Joost de

doi:10.1007/978-3-319-60441-1_45

Cited by 1 publication

(1 citation statement)

References 12 publications

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“…In terms of early warning, Oliver M. Winzer et al investigated the user acceptance of a preventive Car-2-X communication warning system that helps drivers avoid potential collisions with cyclists [8]. In terms of prognosis, Pavlo Bazilinskyy et al developed various algorithms based on a test lane; maintaining a normal position while using the predicted position of the instantaneous steering angle to provide drivers with the appropriate auditory feedback, thereby reducing the occurrence of certain traffic accidents [24]. (4) The study of the technical implementation of the automotive HMI from the cluster can be seen in driving simulators, speech recognition, automotive parts and equipment, machine learning, and HMI.…”

Section: Keyword Clusteringmentioning

confidence: 99%

A Study of Bibliometric Trends in Automotive Human–Machine Interfaces

Zhou

Liao

2022

Sustainability

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With the development of autonomous driving technology and the internet, automotive human–machine interface (HMI) technology has become an important part of contemporary automotive design. Currently, global automakers are designing a variety of innovative in-car HMIs that illustrate the direction of automotive design in the new era from the perspective of technological aesthetics and experience design. However, sleek designs and innovative experience methods must be built on the basis of safety. Therefore, it is necessary to summarize existing research in the field of automotive HMI and construct a literature review of automotive design research. In this paper, literature on automotive HMI from the Scopus database was analyzed using bibliometric methods such as descriptive analysis, keyword co-occurrence, and literature co-citation network analysis. The final mapping analysis revealed that the current automotive HMI research literature primarily focuses on user research, interface research, external environment research, and technology implementation research related to automotive HMI. The three main stages of automotive HMI research include conceptual construction, system and technology refinement, and user perception research from the perspective of driver assistance and information recognition. Additionally, burst detection suggests that future research should focus on driver assistance, trust levels, and e-HMI information communication.

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Section: Keyword Clusteringmentioning

confidence: 99%