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Autonomous Cars: Technical Challenges and a Solution to Blind Spot

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Advances in Computational Intelligence and Communication Technology

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 1086))

Abstract

Automotive industry is progressing forward toward the future, where the role of driver is becoming smaller and leading to become ideally driverless. Designing a fully driverless car (DC) or self-driving car is a most challenging automation project, since we are trying to automate complex processing and decision-making of driving a heavy and fast-moving vehicle in public. There are many scenarios where self-driving cars are not able to perform like human drivers. There are a lot of technical, non-technical, ethical and moral challenges to be addressed. Furthermore, two recent accidents caused by self-driving cars of Uber [1] and Tesla [2] have raised a concern toward the readiness and safety of using these cars. Therefore, it is necessary to address these challenges and issues of DC’s. In this paper, we have surveyed various technical challenges and scenarios where DCs are still facing issues. We have also addressed an issue of blind spots and proposed a systematic solution to tackle the issue. Before self-driving cars go live on road, we have to overcome these challenges and work on technology barriers so that we can make the DCs safe and trustworthy.

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References

  1. K. Naughton, Ubers fatal crash revealed a self-driving blind spot: night vision. Bloomberg, 29 May 2018

    Google Scholar 

  2. J. Stewart, TESLA’S autopilot was involved in another deadly car crash. Wired, 30 Mar 2018

    Google Scholar 

  3. J. Meyer, H. Becker, P.M. Bsch, K.W. Axhausen, Autonomous vehicles: the next jump in accessibilities. Res. Transp. Econ. 62, 80–91 (2017)

    Article  Google Scholar 

  4. Wikipedia contributors, History of self-driving cars. Wikipedia, The Free Encyclopedia. Wikipedia, The Free Encyclopedia, 26 Jan 2019. Web 29 Jan 2019

    Google Scholar 

  5. Y. Zein, M. Darwiche, O. Mokhiamar, GPS tracking system for autonomous vehicles. Alex. Eng. J. Available Online. 13 Nov 2018

    Google Scholar 

  6. T. Kanade, C. Thorpe, W. Whittaker, Autonomous land vehicle project at CMU, in Proceedings of the 1986 ACM Fourteenth Annual Conference on Computer Science, CSC’86 (ACM, New York, 1986), pp. 71–80

    Google Scholar 

  7. K. Kaur, G. Rampersad, Trust in driverless cars: investigating key factors influencing the adoption of driverless cars. J. Eng. Technol. Manag. 48, 87–96 (2018)

    Article  Google Scholar 

  8. J. De Bruyne, J. De Werbrouck, Merging self-driving cars with the law. Comput. Law Secur. Rev. 34(5), 1150–1153 (2018)

    Article  Google Scholar 

  9. R. Okuda, Y. Kajiwara, K. Terashima, A survey of technical trend of adas and autonomous driving. in Proceedings of Technical Program—2014 International Symposium on VLSI Technology, Systems and Application (VLSI-TSA), Apr 2014, pp. 14

    Google Scholar 

  10. N. Adnan, S.M. Nordin, M.A. Bahruddin, M. Ali, How trust can drive forward the user acceptance to the technology? In-vehicle technology for autonomous vehicle. Transp. Res. Part A: Policy Pract. 118, 819–836 (2018)

    Google Scholar 

  11. P. Marks, Autonomous cars ready to hit our roads. New Sci. 213(2858), 19–20 (2012)

    Article  Google Scholar 

  12. Y.-C. Lee, J.H. Mirman, Parents perspectives on using autonomous vehicles to en-hance childrens mobility. Transp. Res. Part C Emerg. Technol. 96, 415–431 (2018)

    Article  Google Scholar 

  13. Biggest challenges in driverless cars, https://9clouds.com/blog/what-are-thebiggest-driverless-car-problems

  14. I. Barabs, A. Todoru, N. Cordo, A. Molea, Current challenges in autonomous driving, in IOP Conference Series: Materials Science and Engineering, vol. 252, (2017) p. 012096

    Google Scholar 

  15. R. Hussain, S. Zeadally, Autonomous cars: research results, issues and future challenges. in IEEE Communications Surveys & Tutorials, (10 Sept 2018), pp. 1–1

    Google Scholar 

  16. S.A. Cohen, D. Hopkins, Autonomous vehicles and the future of urban tourism. Ann. Tour. Res. 74, 33–42 (2019)

    Article  Google Scholar 

  17. L. Ye, T. Yamamoto, Impact of dedicated lanes for connected and autonomous vehicle on traffic flow throughput. Phys. A Stat. Mech. Appl. 512(15), 588–597 (2018)

    Article  Google Scholar 

  18. W.X. Zhu, H.M. Zhang, Analysis of mixed traffic flow with human-driving and autonomous cars based on car-following model. Phys. A Stat. Mech. Appl. 496, 274–285 (2018)

    Article  MathSciNet  Google Scholar 

  19. N.E. Velling, From the testing to the deployment of self-driving cars: legal challenges to policymakers on the road ahead. Comput. Law Secur. Rev. 33(6), 847–863 (2017)

    Article  Google Scholar 

  20. J. Cui, L.S. Liew, G. Sabaliauskaite, F. Zhou, A review on safety failures, security attacks, and available countermeasures for autonomous vehicles. Ad Hoc Networks Available online (7 Dec 2018 In Press). Accepted Manuscript

    Google Scholar 

  21. K.M.A. Alheeti, A. Gruebler, K.D. McDonald-Maier, An intrusion detection system against malicious attacks on the communication network of driverless cars, in 2015 12th Annual IEEE Consumer Communications and Networking Conference (CCNC) 2015

    Google Scholar 

  22. E.R. Teoh, D.G. Kidd, Rage against the machine? Google’s self-driving cars versus human drivers. J. Saf. Res. 63, 57–60 (2017)

    Article  Google Scholar 

  23. Uber self driving car fatality. NewScientist 237(3170), 5–57 (2018)

    Google Scholar 

  24. M. Lad, I. Herman, Z. Hurk, Vehicular platooning experiments using autonomous slot cars. IFAC-PapersOnLine 50(1), 12596–12603 (2017)

    Article  Google Scholar 

  25. J. Yu, L. Petng, Space-based collision avoidance framework for autonomous vehicles. Procedia Comput. Sci. 140, 37–45 (2018)

    Article  Google Scholar 

  26. R. Iacobucci, B. McLellan, T. Tezuka, Modeling shared autonomous electric vehicles: potential for transport and power grid integration. Energy 158, 148–163 (2018)

    Google Scholar 

  27. J.P. Hanna, M. Albert, D. Chen, P. Stone, Minimum cost matching for autonomous carsharing. IFAC-PapersOnLine 49(15), 254–259 (2016)

    Article  MathSciNet  Google Scholar 

  28. M. Zhu, X. Wang, Y. Wang, Human-like autonomous car-following model with deep reinforcement learning. Transp. Res. Part C Emerg. Technol. 97, 348–368 (2018)

    Article  Google Scholar 

  29. P. Bohm, M. Kocur, M. Firat, D. Isemann, Which factors influence attitudes towards using autonomous vehicles, in Automotive UI, Proceedings of the 9th International Conference on Automotive User Interfaces and Interactive Vehicular Applications Adjunct (2017), pp. 141–145

    Google Scholar 

  30. Y.H. Cho, B.K. Han, Application of slim A-pillar to improve driver’s field of vision. Int. J. Autom. Technol. 11, 517–524 (2010)

    Article  Google Scholar 

  31. K. McCarthy, Uber self-driving car death riddle: was LIDAR blind spot to blame? Emergent Tech, 28 Mar 2018

    Google Scholar 

  32. G. Liu, M. Zhou, L. Wang, H. Wang, X. Guo, A blind spot detection and warning system based on millimeter wave radar for driver assistance. Sci. Direct 135, 353–365 (2017)

    Google Scholar 

  33. B.F. Wu, H.Y. Huang, C.J. Chen, Y.H. Chen, C.W. Chang, Y.L. Chen, A vision based blind spot warning system for daytime and nighttime driver assistance. Comput. Electr. Eng. 39, 846–862 (2013)

    Google Scholar 

  34. M.W. Park, K.H. Jang, S.K. Jung, Panoramic vision system to eliminate driver’s blind spots using a laser sensor and cameras. Int. J. ITS Res. 10, 101–114 (2012)

    Article  Google Scholar 

  35. Y.L. Chen, B.F. Wu, H.Y. Huang, C.J. Fan, A real-time vision system for nighttime vehicle detection and traffic surveillance. IEEE Trans. Ind. Electron. 58(5), 2030–2044 (2011)

    Article  Google Scholar 

  36. Y.C. Kuo, N.S. Pai, Y.F. Li, Vision-based vehicle detection for a driver assistance system. Comput. Math. Appl. 61, 2096–2100 (2011)

    Article  Google Scholar 

  37. C.T. Chen, Y.S. Chen, Real-time approaching vehicle detection in blind-spot area, in Proceedings IEEE International Conference Intelligence Transport System (2009), pp. 1–6

    Google Scholar 

  38. V. Milanes, D.F. Llorca, J. Villagra, J. Perez, C. Fernandez, I. Parra, C. Gonzalez, M.A. Sotelo, Intelligent automatic overtaking system using vision for vehicle detection. Expert. Syst. Appl. 39, 3362–3373 (2012)

    Article  Google Scholar 

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Correspondence to Hrishikesh M. Thakurdesai .

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Thakurdesai, H.M., Aghav, J.V. (2021). Autonomous Cars: Technical Challenges and a Solution to Blind Spot. In: Gao, XZ., Tiwari, S., Trivedi, M., Mishra, K. (eds) Advances in Computational Intelligence and Communication Technology. Advances in Intelligent Systems and Computing, vol 1086. Springer, Singapore. https://doi.org/10.1007/978-981-15-1275-9_44

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