Automotive Augmented Reality Head-Up Displays.

Chen Zhou, Wen Qiao, Jianyu Hua, Linsen Chen
Author Information
  1. Chen Zhou: School of Optoelectronic Science and Engineering & Collaborative Innovation Center of Suzhou Nano Science and Technology, Soochow University, Suzhou 215006, China.
  2. Wen Qiao: School of Optoelectronic Science and Engineering & Collaborative Innovation Center of Suzhou Nano Science and Technology, Soochow University, Suzhou 215006, China. ORCID
  3. Jianyu Hua: School of Optoelectronic Science and Engineering & Collaborative Innovation Center of Suzhou Nano Science and Technology, Soochow University, Suzhou 215006, China.
  4. Linsen Chen: School of Optoelectronic Science and Engineering & Collaborative Innovation Center of Suzhou Nano Science and Technology, Soochow University, Suzhou 215006, China.

Abstract

As the next generation of in-vehicle intelligent platforms, the augmented reality heads-up display (AR-HUD) has a huge information interaction capacity, can provide drivers with auxiliary driving information, avoid the distractions caused by the lower head during the driving process, and greatly improve driving safety. However, AR-HUD systems still face great challenges in the realization of multi-plane full-color display, and they cannot truly achieve the integration of virtual information and real road conditions. To overcome these problems, many new devices and materials have been applied to AR-HUDs, and many novel systems have been developed. This study first reviews some key metrics of HUDs, investigates the structures of various picture generation units (PGUs), and finally focuses on the development status of AR-HUDs, analyzes the advantages and disadvantages of existing technologies, and points out the future research directions for AR-HUDs.

Keywords

References

  1. Proc Natl Acad Sci U S A. 2021 May 4;118(18): [PMID: 33903240]
  2. Opt Express. 2014 Jul 28;22(15):18473-82 [PMID: 25089466]
  3. Opt Express. 2009 Aug 31;17(18):16038-45 [PMID: 19724604]
  4. J Phys Chem Lett. 2021 Jul 29;12(29):6946-6954 [PMID: 34283594]
  5. Opt Lett. 2010 Apr 15;35(8):1227-9 [PMID: 20410975]
  6. Opt Express. 2023 Jan 16;31(2):964-975 [PMID: 36785143]
  7. Appl Opt. 2019 Dec 1;58(34):G326-G331 [PMID: 31873517]
  8. Appl Opt. 2014 Sep 20;53(27):G222-31 [PMID: 25322134]
  9. Opt Express. 2008 Aug 4;16(16):12372-86 [PMID: 18679514]
  10. Opt Express. 2012 Oct 22;20(22):25130-6 [PMID: 23187279]
  11. Opt Express. 2008 Sep 29;16(20):15495-505 [PMID: 18825188]
  12. Hum Factors. 1997 Jun;39(2):303-11 [PMID: 9302890]
  13. Adv Mater. 2022 May;34(19):e2110463 [PMID: 35148445]
  14. J Biomed Inform. 2017 Jul;71:154-164 [PMID: 28533140]
  15. Opt Lett. 2022 May 1;47(9):2202-2205 [PMID: 35486760]
  16. Appl Opt. 2021 Feb 20;60(6):1653-1659 [PMID: 33690502]
  17. Nature. 2013 Mar 21;495(7441):348-51 [PMID: 23518562]
  18. Nature. 1948 May 15;161(4098):777 [PMID: 18860291]
  19. Opt Express. 2019 Apr 29;27(9):12692-12709 [PMID: 31052807]
  20. Nature. 2021 Mar;591(7849):234-239 [PMID: 33692557]
  21. iScience. 2020 Aug 21;23(8):101397 [PMID: 32759057]
  22. ACS Appl Mater Interfaces. 2010 Mar;2(3):913-8 [PMID: 20356298]
  23. Appl Opt. 2019 Mar 1;58(7):1675-1681 [PMID: 30874198]
  24. Can Fam Physician. 2013 Jul;59(7):723-5 [PMID: 23851528]
  25. Accid Anal Prev. 1994 Dec;26(6):703-17 [PMID: 7857487]
  26. Nature. 2006 Aug 3;442(7102):551-4 [PMID: 16885981]
  27. Opt Express. 2010 Apr 26;18(9):8806-15 [PMID: 20588725]
  28. Opt Express. 2007 Nov 26;15(24):15734-40 [PMID: 19550857]
  29. Nat Commun. 2016 Oct 03;7:12954 [PMID: 27694975]
  30. Opt Express. 2015 Feb 9;23(3):3534-49 [PMID: 25836207]
  31. Appl Opt. 2018 Nov 1;57(31):9246-9256 [PMID: 30461965]
  32. Light Sci Appl. 2021 Oct 12;10(1):213 [PMID: 34642293]
  33. Appl Opt. 2022 Nov 20;61(33):9962-9971 [PMID: 36606828]
  34. Appl Opt. 2016 Oct 1;55(28):7922-7928 [PMID: 27828027]
  35. Opt Express. 2020 Nov 23;28(24):35716-35723 [PMID: 33379682]
  36. Appl Opt. 2005 Jun 1;44(16):3238-45 [PMID: 15943257]
  37. Opt Express. 2011 Jun 20;19(13):12008-13 [PMID: 21716435]
  38. Nanomaterials (Basel). 2020 Dec 10;10(12): [PMID: 33322057]
  39. Appl Opt. 2019 Feb 10;58(5):A251-A257 [PMID: 30873984]
  40. Opt Express. 2017 Oct 30;25(22):27008-27014 [PMID: 29092182]
  41. Opt Express. 2011 Sep 12;19(19):18584-92 [PMID: 21935227]
  42. Adv Mater. 2020 Sep;32(35):e1907166 [PMID: 32176401]
  43. Appl Opt. 2022 Feb 10;61(5):B156-B163 [PMID: 35201136]
  44. Opt Express. 2016 Jul 25;24(15):17372-83 [PMID: 27464184]

Grants

  1. 2021YFB2802200/National Key Research and Development Program of China
  2. 62375194 and 62075145/Natural Science Foundation of China (NSFC)
  3. BE2021010/Jiangsu Provincial Key Research and Development Program
  4. BK20192003/Leading Technology of Jiangsu Basic Research Plan

Word Cloud

Created with Highcharts 10.0.0generationdisplayinformationdrivingAR-HUDsaugmentedrealityheads-upAR-HUDsystemsmanypicturenextin-vehicleintelligentplatformshugeinteractioncapacitycanprovidedriversauxiliaryavoiddistractionscausedlowerheadprocessgreatlyimprovesafetyHoweverstillfacegreatchallengesrealizationmulti-planefull-colortrulyachieveintegrationvirtualrealroadconditionsovercomeproblemsnewdevicesmaterialsappliednoveldevelopedstudyfirstreviewskeymetricsHUDsinvestigatesstructuresvariousunitsPGUsfinallyfocusesdevelopmentstatusanalyzesadvantagesdisadvantagesexistingtechnologiespointsfutureresearchdirectionsAutomotiveAugmentedRealityHead-UpDisplaysopticaldesignunit

Similar Articles

Cited By