Nothing Special   »   [go: up one dir, main page]

Skip to main content

A Systematic Review of Autonomous Driving in Transportation

  • Conference paper
  • First Online:
HCI International 2021 - Late Breaking Papers: HCI Applications in Health, Transport, and Industry (HCII 2021)

Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 13097))

Included in the following conference series:

Abstract

With the rapid development of science and technology, some new terms, such as cloud computing, big data, and artificial intelligence, have become part of public life. Artificial intelligence is another technological revolution after human beings entered the information era, attracting more and more attention. As an extension and application of artificial intelligence technology in the automotive industry and transportation field, autonomous driving has received close attention from industry, academic, and even the national level in recent years worldwide. The self-driving car relies on artificial intelligence, visual computing, radar, monitoring devices, and global positioning systems to work in concert, which allows computers to operate motor vehicles automatically and safely without any human initiative. Autonomous driving technology will become mainstream for future cars in transportation. The review for autonomous driving in the artificial intelligent aspect was conducted using Cite Space, Harzing’s Publish, VOS viewer, Mendeley, Scopus, and Web of Science. By using the data from these database websites, co-citation analysis and the leading table analysis are organized together.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Subscribe and save

Springer+ Basic
$34.99 /Month
  • Get 10 units per month
  • Download Article/Chapter or eBook
  • 1 Unit = 1 Article or 1 Chapter
  • Cancel anytime
Subscribe now

Buy Now

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 99.00
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 129.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

Similar content being viewed by others

References

  1. Brauer, R.L.: Chapter 31: Human behavior and performance in safety. In: Safety and Health for Engineers. Wiley, New York (2016)

    Google Scholar 

  2. Brauer, R.L.: Chapter 9: General principles of hazard control. In: Safety and Health for Engineers. Wiley, New York (2016)

    Google Scholar 

  3. Paxton, W.F., et al.: Catalytic nanomotors: autonomous movement of striped nanorods. J. Am. Chem. Soc. 126(41), 13424–13431 (2014). https://doi.org/10.1021/ja047697z

  4. Fahimnia, B., Sarkis, J., Davarzani, H.: Green supply chain management: a review and bibliometric analysis. Int. J. Prod. Econ. 162, 101–114 (2015). https://doi.org/10.1016/j.ijpe.2015.01.003

    Article  Google Scholar 

  5. Folkestad, C., Chen, Y., Ames, A.D., Burdick, J.W.: Data-driven safety-critical control: synthesizing control barrier functions with Koopman operators. IEEE Control Syst. Lett. 5(6), 2012–2017 (2021). https://doi.org/10.1109/LCSYS.2020.3046159

    Article  Google Scholar 

  6. Kuwata, Y., Teo, J., Fiore, G., Karaman, S., Frazzoli, E., How, J.P.: Real-time motion planning with applications to autonomous urban driving. IEEE Trans. Control Syst. Technol. 17(5), 1105–1118 (2009). https://doi.org/10.1109/TCST.2008.2012116

    Article  Google Scholar 

  7. Wei, J., Snider, J.M., Kim, J., Dolan, J.M., Rajkumar, R., Litkouhi, B.: Towards a viable autonomous driving research platform. In: IEEE Intelligent Vehicles Symposium, Proceedings, no. Iv, pp. 763–770 (2013). https://doi.org/10.1109/IVS.2013.6629559

  8. Helldin, T., Falkman, G., Riveiro, M., Davidsson, S.: Presenting system uncertainty in automotive UIs for supporting trust calibration in autonomous driving. In: Proceedings of the 5th International Conference on Automotive User Interfaces and Interactive Vehicular Applications, AutomotiveUI, pp. 210–217 (2013). https://doi.org/10.1145/2516540.2516554

  9. Hörwick, M., Siedersberger, K.H.: Strategy and architecture of a safety concept for fully automatic and autonomous driving assistance systems. In: IEEE Intelligent Vehicles Symposium, Proceedings, pp. 955–960 (2010). https://doi.org/10.1109/IVS.2010.5548115

  10. Eugensson, A., Brännström, M., Frasher, D., Rothoff, M., Solyom, S., Robertsson, A.: Environmental, safety, legal and societal implications of autonomous vehicles. In: Proceedings of the International Technical Conference on the Enhanced Safety of Vehicles (ESV), pp. 1–15 (2013). http://www-nrd.nhtsa.dot.gov/pdf/esv/esv23/23ESV-000467.PDF

  11. Feng, S., Yan, X., Sun, H., Feng, Y., Liu, H.X.: Intelli gent driving intelligence test for autonomous vehicles with naturalistic and adversarial environment. Nat. Commun. 12(1), 1–14 (2021). https://doi.org/10.1038/s41467-021-21007-8

    Article  Google Scholar 

  12. Guéguen, N., Meineri, S., Eyssartier, C.: A Pedestrian’s stare and drivers’ stopping behavior: a field experiment at the pedestrian crossing. Saf. Sci. 75, 87–89 (2015)

    Article  Google Scholar 

  13. Peña-García, A., Hurtado, A., Aguilar-Luzón, M.C.: Impact of public lighting on pedestrians’ perception of safety and well-being. Saf. Sci. 78, 142–148 (2015). https://doi.org/10.1016/j.ssci.2015.04.009

    Article  Google Scholar 

  14. NSF Website. https://www.nsf.gov/awardsearch/simpleSearchResult?queryText=Autonomous+driving&ActiveAwards=true. Accessed 06 Oct 2021

  15. Yang, Y., Liu, Y., Zhou, M., Li, F., Sun, C.: Robustness assessment of urban rail transit based on complex network theory: a case study of the Beijing subway. Saf. Sci. 79, 149–162 (2015). https://doi.org/10.1016/j.ssci.2015.06.006

    Article  Google Scholar 

  16. Takikawa, K., Atsumi, Y., Takanose, A., Meguro, J.: Vehicular trajectory estimation utilizing slip angle based on GNSS Doppler/IMU. ROBOMECH J. 8(1), 1–11 (2021). https://doi.org/10.1186/s40648-021-00195-4

    Article  Google Scholar 

  17. Feng, S., Yan, X., Sun, H., Feng, Y., Liu, H.X.: Intelligent driving intelligence test for autonomous vehicles with naturalistic and adversarial environment. Nat. Commun. 12(1), 1–14 (2021). https://doi.org/10.1038/s41467-021-21007-8

    Article  Google Scholar 

  18. Helldin, T., Falkman, G., Riveiro, M., Davidsson, S.: Presenting system uncertainty in automotive UIs for supporting trust calibration in autonomous driving. In: Proceedings of the 5th International Conference on Automotive User Interfaces and Interactive Vehicular Applications, AutomotiveUI, pp. 210–217 (2013). https://doi.org/10.1145/2516540.2516554

  19. Simba, K.R., Uchiyama, N., Sano, S.: Real-time obstacle-avoidance motion planning for autonomous mobile robots. In: Proceedings of 2014 Australian Control Conference, AUCC 2014, no. November, pp. 267–272 (2015). https://doi.org/10.1109/AUCC.2014.7358652

  20. Guo, F., Li, F., Lv, W., Liu, L., Duffy, V.G.: Bibliometric analysis of affective computing researches during 1999–2018. Int. J. Hum.-Comput. Interact. 36(9), 801–814 (2020). https://doi.org/10.1080/10447318.2019.1688985

    Article  Google Scholar 

  21. Duffy, G.A., Duffy, V.G.: Systematic literature review on the effect of human error in environmental pollution. In: Duffy, V.G. (ed.) HCII 2020. LNCS, vol. 12199, pp. 228–241. Springer, Cham (2020). https://doi.org/10.1007/978-3-030-49907-5_16

    Chapter  Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Zilin Xu .

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2021 Springer Nature Switzerland AG

About this paper

Check for updates. Verify currency and authenticity via CrossMark

Cite this paper

Xu, Z., Duffy, V.G. (2021). A Systematic Review of Autonomous Driving in Transportation. In: Stephanidis, C., et al. HCI International 2021 - Late Breaking Papers: HCI Applications in Health, Transport, and Industry. HCII 2021. Lecture Notes in Computer Science(), vol 13097. Springer, Cham. https://doi.org/10.1007/978-3-030-90966-6_28

Download citation

  • DOI: https://doi.org/10.1007/978-3-030-90966-6_28

  • Published:

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-90965-9

  • Online ISBN: 978-3-030-90966-6

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics