The Application of Augmented Reality in the Automotive Industry: A Systematic Literature Review

被引：46

作者：

Boboc, Razvan Gabriel ^{[1
]}

Girbacia, Florin ^{[1
]}

Butila, Eugen Valentin ^{[1
]}

机构：

[1] Transilvania Univ Brasov, Dept Automot & Transport Engn, RO-500036 Brasov, Romania

来源：

APPLIED SCIENCES-BASEL | 2020年 / 10卷 / 12期

关键词：

augmented reality; mixed reality; automotive; head-up display; see-through displays; driving systems; manufacturing; HEAD-UP DISPLAYS; NAVIGATION SYSTEM; SUPPORT; DESIGN; DRIVER; INFORMATION; TECHNOLOGY; VEHICLES; OPPORTUNITIES; PERFORMANCE;

D O I：

10.3390/app10124259

中图分类号：

O6 [化学];

学科分类号：

0703 ;

摘要：

Augmented reality (AR) is a fairly new technology enabling human machine interaction by superimposing virtual information on a real environment. Potential applications can be found in many areas of research from recent years. This study presents a systematic review of existing AR systems in the automotive field, synthesizing 55 studies from 2002 to 2019. The main research questions are: where AR technology has been applied within the automotive industry, what is the purpose of its application, what are the general characteristics of these systems, and what are the emphasized benefits and challenges of using AR in this field? The aim of this paper is to provide an insight into the AR applications and technologies in the automotive field.

引用

页数：23

共 89 条

[31] Making Vehicles Transparent Through V2V Video Streaming [J].

Gomes, Pedro ;

Olaverri-Monreal, Cristina ;

Ferreira, Michel .

IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS, 2012, 13 (02) :930-938

[32] Perception, information processing and modeling: Critical stages for autonomous driving applications [J].

Gruyer, Dominique ;

Magnier, Valentin ;

Hamdi, Karima ;

Claussmann, Laurene ;

Orfila, Olivier ;

Rakotonirainy, Andry .

ANNUAL REVIEWS IN CONTROL, 2017, 44 :323-341

[33]

Halim A. A., 2018, J. Fundam. Appl. Sci., V10, P412

[34] Appraising the evidence: Reviewing disparate data systematically [J].

Hawker, S ;

Payne, S ;

Kerr, C ;

Hardey, M ;

Powell, J .

QUALITATIVE HEALTH RESEARCH, 2002, 12 (09) :1284-1299

[35] Exploring crosstalk perception for stereoscopic 3D head-up displays in a crosstalk simulator [J].

Hoeckh, Simone ;

Frederiksen, Annette ;

Renault, Sylvain ;

Hopf, Klaus ;

Gilowski, Michael ;

Schell, Martin .

JOURNAL OF THE SOCIETY FOR INFORMATION DISPLAY, 2015, 23 (09) :417-428

[36] Adaptive instructions to novice shop-floor operators using Augmented Reality [J].

Holm M. ;

Danielsson O. ;

Syberfeldt A. ;

Moore P. ;

Wang L. .

Journal of Industrial and Production Engineering, 2017, 34 (05) :362-374

[37] Augmented Reality System for Virtual Training of Parts Assembly [J].

Horejsi, Petr .

25TH DAAAM INTERNATIONAL SYMPOSIUM ON INTELLIGENT MANUFACTURING AND AUTOMATION, 2014, 2015, 100 :699-706

[38] Smart Car [J].

Huang, Shih-Chia ;

Chen, Bo-Hao ;

Chou, Sheng-Kai ;

Hwang, Jenq-Neng ;

Lee, Kuan-Hui .

IEEE COMPUTATIONAL INTELLIGENCE MAGAZINE, 2016, 11 (04) :46-58

[39] Augmented reality tools for industrial applications: What are potential key performance indicators and who benefits? [J].

Jetter, Jerome ;

Eimecke, Joergen ;

Rese, Alexandra .

COMPUTERS IN HUMAN BEHAVIOR, 2018, 87 :18-33

[40] Driver Behavior and Performance with Augmented Reality Pedestrian Collision Warning: An Outdoor User Study [J].

Kim, Hyungil ;

Gabbard, Joseph L. ;

Anon, Alexandre Miranda ;

Misu, Teruhisa .

IEEE TRANSACTIONS ON VISUALIZATION AND COMPUTER GRAPHICS, 2018, 24 (04) :1515-1524

← 1 2 3 4 5 6 7 8 9 →