Automotive Head-Up Display Systems: A Bibliometric and Trend Analysis.

This study focuses on the analysis and summary of HUD-related studies for the period 2017–2022. Based on the bibliometric approach, the 1009 papers obtained from the WOS (Web of Science) Core library search that were most relevant to the research topic were highlighted for analysis. Based on the traditional bibliometric analysis methods such as keyword frequency analysis and cluster analysis, it was found that the main research hotspots of automotive HUDs in the past five years include human-automation interaction, advanced driver assistance system, crossing behavior and so on. The analysis found that HUDs are closely integrated with assisted driving and autonomous driving scenarios. The analysis is based on a hierarchical analysis of human, automotive and HUD, which reveals that HUDs are applied to a number of scenarios such as early warning, navigation and infotainment in the car, and the driver's attention is allocated to a number of factors. This paper will help future researchers to understand the latest developments in automotive HUDs from a macro perspective, identify key areas for HUD research and application, and provide some insight and useful guidance for future research on the selection of HUD applications in driving scenarios.