skip to main content
10.1145/3508072.3508199acmotherconferencesArticle/Chapter ViewAbstractPublication PagesicfndsConference Proceedingsconference-collections
research-article

The Role of Big Data and Smart Technologies in Autonomous Vehicles

Authors Info & Claims
Published:13 April 2022Publication History

ABSTRACT

This paper presents a definition of what Autonomous Vehicle and their functions are, how they operate, gather data and what threats they have to encounter-with throughout their operations. As explained later in the article, we can observe that there are a handful of ways by which a self-driving vehicle can gather information about it’s surrounding environment beside the sensors it is equipped with. These methods of gathering data are thoroughly explained in the article alongside their advantages and disadvantages. This article also tries to have a look at the methods an AV can overcome the computing challenges it is facing while guiding and controlling the vehicle, as well as staying in communication with other vehicles or any object that can provide useful information to the vehicle.

References

  1. [1] Baltrušaitis, Tadas, Chaitanya Ahuja, and Louis-Philippe Morency. ”Multimodal machine learning: A survey and taxonomy.” IEEE transactions on pattern analysis and machine intelligence 41, no. 2 (2018): 423-443Google ScholarGoogle Scholar
  2. [2] Stilgoe, Jack. ”Machine learning, social learning and the governance of self-driving cars.” Social studies of science 48, no. 1 (2018): 25-56.Google ScholarGoogle ScholarCross RefCross Ref
  3. [3] Rajesh, M., and J. M. Gnanasekar. ”Path observation based physical routing protocol for wireless ad hoc networks.” Wireless Personal Communications 97, no. 1 (2017): 1267-1289.Google ScholarGoogle ScholarDigital LibraryDigital Library
  4. [4] Boussoufa-Lahlah, Souaad, Fouzi Semchedine, and Louiza Bouallouche-Medjkoune. ”Geographic routing protocols for Vehicular Ad hoc NETworks (VANETs): A survey.” Vehicular Communications 11 (2018): 20-31.Google ScholarGoogle ScholarCross RefCross Ref
  5. [5] Maratha, Barakat Pravin, Tarek R. Sheltami, and Khaled Salah. ”Performance study of MANET routing protocols in VANET.” Arabian Journal for Science and Engineering 42, no. 8 (2017): 3115-3126.Google ScholarGoogle ScholarCross RefCross Ref
  6. [6] Singh, Gagan Deep, Ravi Tomar, Hanumat G. Sastry, and Manish Prateek. ”A review on VANET routing protocols and wireless standards.” In Smart computing and informatics, pp. 329-340. Springer, Singapore, 2018.Google ScholarGoogle Scholar
  7. [7] Ahmad, Sabbagh Amani, and Maxim Shcherbakov. ”A Survey on Routing Protocols in Vehicular Adhoc Networks.” In 2018 9th International Conference on Information, Intelligence, Systems and Applications (IISA), pp. 1-8. IEEE, 2018.Google ScholarGoogle Scholar
  8. [8] Da Xu, Li, Wu He, and Shancang Li. ”Internet of things in industries: A survey.” IEEE Transactions on industrial informatics 10, no. 4 (2014): 2233-2243; page7)Google ScholarGoogle ScholarCross RefCross Ref
  9. [9] Porkodi, R., and V. Bhuvaneswari. ”The internet of things (IOT) applications and communication enabling technology standards: An overview.” In 2014 International conference on intelligent computing applications, pp. 324-329. IEEE, 2014.Google ScholarGoogle Scholar
  10. [10] IOV in Bd (BIG DATA), Wenchao XE, 2018Google ScholarGoogle Scholar
  11. [11] Wang, Jiadai, Jiajia Liu, and Nei Kato. ”Networking and communications in autonomous driving: A survey.” IEEE Communications Surveys & Tutorials 21, no. 2 (2018): 1243-1274.Google ScholarGoogle Scholar
  12. [12] S. D. Pendleton et al., “Perception, planning, control, and coordination for AVs,” Machines, vol. 5, no. 1, p. 6, 2017.Google ScholarGoogle ScholarCross RefCross Ref
  13. [13] D. Seidl, P. Merget, J. Schneider, R. Weniger, and E. Zeeb, “Applications of POF’s in data links of mobile systems,” in Proc. 7th Int. Polymer Optical Fiber (POF) Conf., Berlin, Germany, Oct. 1998, pp. 205–211Google ScholarGoogle Scholar
  14. [14] Kibler, Thomas, Stefan Poferl, Gotthard Böck, Hans-Peter Huber, and Eberhard Zeeb. ”Optical data buses for automotive applications.” Journal of lightwave technology 22, no. 9 (2004): 2184.Google ScholarGoogle ScholarCross RefCross Ref
  15. [15] D. Paret, Multiplexed Networks for Embedded Systems: CAN, LIN, Flexray, Safe-by-Wire. New York: Wiley, 2007.Google ScholarGoogle ScholarCross RefCross Ref
  16. [16] Park, Inseok, and Myoungho Sunwoo. ”FlexRay network parameter optimization method for automotive applications.” IEEE Transactions on Industrial Electronics 58, no. 4 (2010): 1449-1459.Google ScholarGoogle Scholar
  17. [17] P. Mishra, “Distributed control system development for FlexRay-based systems,” presented at the SAE World Congr., Detroit, MI, 2005, Paper 2005-05AE-329.Google ScholarGoogle ScholarCross RefCross Ref
  18. [18]Van Brummelen, Jessica, Marie O’Brien, Dominique Gruyer, and Homayoun Najjaran. ”AV perception: The technology of today and tomorrow.” Transportation research part C: emerging technologies 89 (2018): 384-406.Google ScholarGoogle Scholar
  19. [19] Maurer, M., Gerdes, J.C., Lenz, B., Winner, H. (Eds.), 2016. Autonomous Driving. Springer Berlin. Springer, Berlin, Heidelberg. http://dx.doi.org/10.1007/978-3-662- 48847-8.Google ScholarGoogle Scholar
  20. [20]Camacho, Fernando, César Cárdenas, and David Muñoz. ”Emerging technologies and research challenges for intelligent transportation systems: 5G, HetNets, and SDN.” International Journal on Interactive Design and Manufacturing (IJIDeM) 12, no. 1 (2018): 327-335.Google ScholarGoogle ScholarCross RefCross Ref
  21. [21] Zhao, Hang, LinBin Yao, ZhiXin Zeng, DongHua Li, JinLiang Xie, WeiLing Zhu, and Jie Tang. ”An edge streaming data processing framework for autonomous driving.” Connection Science 33, no. 2 (2021): 173-200.Google ScholarGoogle ScholarCross RefCross Ref
  22. [22] Liu, Shaoshan, Jie Tang, Chao Wang, Quan Wang, and Jean-Luc Gaudiot. ”A unified cloud platform for autonomous driving.” Computer 50, no. 12 (2017): 42-49.Google ScholarGoogle ScholarDigital LibraryDigital Library
  23. [23] Liu, Shaoshan, Liangkai Liu, Jie Tang, Bo Yu, Yifan Wang, and Weisong Shi. ”Edge computing for autonomous driving: Opportunities and challenges.” Proceedings of the IEEE 107, no. 8 (2019): 1697-1716.Google ScholarGoogle ScholarCross RefCross Ref
  24. [24] Anderson, James M., Kalra Nidhi, Karlyn D. Stanley, Paul Sorensen, Constantine Samaras, and Oluwatobi A. Oluwatola. AV technology: A guide for policymakers. Rand Corporation, 2014.Google ScholarGoogle Scholar
  25. [25]Salehian, Soulmaz, and Yonghong Yan. ”Comparison of spark resource managers and distributed file systems.” In 2016 IEEE international conferences on big data and cloud computing (BDCloud), social computing and networking (SocialCom), sustainable computing and communications (SustainCom)(BDCloud-SocialCom-SustainCom), pp. 567-572. IEEE, 2016.Google ScholarGoogle Scholar
  26. [26]Ghafoor, Kayhan Zrar, Linghe Kong, Sherali Zeadally, Ali Safaa Sadiq, Gregory Epiphaniou, Mohammad Hammoudeh, Ali Kashif Bashir, and Shahid Mumtaz. ”Millimeter-wave communication for internet of vehicles: Status, challenges, and perspectives.” IEEE Internet of Things Journal 7, no. 9 (2020): 8525-8546.Google ScholarGoogle ScholarCross RefCross Ref
  27. [27]Aldabbas, Omar, Abdelrahman Abuarqoub, Mohammad Hammoudeh, Umar Raza, and Ahcène Bounceur. ”Unmanned ground vehicle for data collection in wireless sensor networks: mobility-aware sink selection.” The Open Automation and Control Systems Journal 8, no. 1 (2016).Google ScholarGoogle Scholar
  28. [28]Hammoudeh, Mohammad, and Robert Newman. ”Information extraction from sensor networks using the Watershed transform algorithm.” Information Fusion 22 (2015): 39-49.Google ScholarGoogle ScholarCross RefCross Ref
  29. [29]Alsbouí, T., Mohammad Hammoudeh, Zuhair Bandar, and Andy Nisbet. ”An overview and classification of approaches to information extraction in wireless sensor networks.” In Proceedings of the 5th International Conference on Sensor Technologies and Applications (SENSORCOMM’11), p. 255. 2011.Google ScholarGoogle Scholar

Index Terms

  1. The Role of Big Data and Smart Technologies in Autonomous Vehicles
      Index terms have been assigned to the content through auto-classification.

      Recommendations

      Comments

      Login options

      Check if you have access through your login credentials or your institution to get full access on this article.

      Sign in
      • Published in

        cover image ACM Other conferences
        ICFNDS 2021: The 5th International Conference on Future Networks & Distributed Systems
        December 2021
        847 pages
        ISBN:9781450387347
        DOI:10.1145/3508072

        Copyright © 2021 ACM

        Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

        Publisher

        Association for Computing Machinery

        New York, NY, United States

        Publication History

        • Published: 13 April 2022

        Permissions

        Request permissions about this article.

        Request Permissions

        Check for updates

        Qualifiers

        • research-article
        • Research
        • Refereed limited
      • Article Metrics

        • Downloads (Last 12 months)30
        • Downloads (Last 6 weeks)2

        Other Metrics

      PDF Format

      View or Download as a PDF file.

      PDF

      eReader

      View online with eReader.

      eReader

      HTML Format

      View this article in HTML Format .

      View HTML Format