Skip to main content
SpringerLink
Log in

Advanced Driver Assistance System Technologies and Its Challenges Toward the Development of Autonomous Vehicle

  • Conference paper
  • First Online:
Intelligent Computing and Applications

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 1172))

Abstract

The automotive industry is more concerned about vehicle and road safety. Nowadays the Govt. has introduced new safety regulations to improve the vehicle and road safety. Most of the accidents are happening because of human errors, violation of traffic rules, etc. To avoid or reduce these accidents and to meet the Govt. safety regulations the automotive industries started implementing new technologies like Advanced Driver Assistance System (ADAS), Passive and Active safety system in vehicles. ADAS is the most important safety feature in modern automobiles. The key functionality of ADAS is to provide more comfort to the driver and to improve road and vehicle safety by minimizing human errors. To achieve these functionalities the system use sensors like Radar (Radio Detection and Ranging), Camera, Light Detection and Ranging (LIDAR), and Ultrasonic sensors. Based on sensor input Electronic Control Unit (ECU) delivers the information to driver in terms of warnings, alarms, etc. or system takes the longitudinal and lateral control to bring the vehicle to safer zone. Focus of this paper is to discuss the hardware and software technologies used for the development of ADAS systems and its challenges.

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

Access this chapter

Log in via an institution
Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 169.00
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 219.99
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. W. H. Organization, Global Status Report On Road Safety 2018 (2018)

    Google Scholar 

  2. D. Assistance, M. Galvani, History and future of driver assistance. IEEE Instrum. Meas. Mag. 22(February), 11–16 (2019)

    Google Scholar 

  3. A. Shaout, D. Colella, S. Awad, Advanced driver assistance systems—past, present and future, in ICENCO’2011—2011 7th International Computer Engineering Conference Today Information Society What’s Next? (2012), pp. 72–82 (2012)

    Google Scholar 

  4. A. Carullo, M. Parvis, S. Member, An Ultrasonic Sensor for Distance Measurement in automotive applications. IEEE Sens. J. 1(2), 143–147 (2001)

    Article  Google Scholar 

  5. K. Dyczkowski, P. Gadecki, A. Kułakowski, Traffic signs recognition system

    Google Scholar 

  6. T. National, H. Traffic, S. Administration, Blind Spot Monitoring in Light Vehicles—System Performance, no. July, 2014

    Google Scholar 

  7. R.N. Mahajan, A.M. Patil, Mazda lane departure warning system. Int. J. Eng. Tech. Res. 120–123 (2014)

    Google Scholar 

  8. E. Dagan, O. Mano, G.P. Stein, Forward collision warning with a single camera modeling acceleration momentary time to contact

    Google Scholar 

  9. A.A. Aly, E.-S. Zeidan, A. Hamed, F. Salem, An antilock-braking systems (ABS) control: a technical review. Intell. Control Autom. 02(03), 186–195 (2011)

    Article  Google Scholar 

  10. J.D. Halderman, Automotive Technology, 4 edn. (2012)

    Google Scholar 

  11. Y.A. Ghoneim, W.C. Lin, Y.-K. Chin, D.M. Sidlosky, Enhanced traction stability control system. SAE Tech. Pap. Ser. 1, 724 (2010)

    Google Scholar 

  12. A.T. Van Zanten, Bosch ESP systems: 5 years of experience. SAE Tech. Pap. Ser. 1, 724 (2010)

    Google Scholar 

  13. D. Kim, K. Kim, W. Lee, I. Hwang, Development of Mando ESP (Electronic Stability Program). SAE Tech. Pap. Ser. 1, 724 (2010)

    Google Scholar 

  14. O. Gietelink, J. Ploeg, B. De Schutter, M. Verhaegen, Development of advanced driver assistance systems with vehicle hardware-in-the-loop simulations. Veh. Syst. Dyn. 44(7), 569–590 (2006)

    Article  Google Scholar 

  15. T. Sauer, J. Steinle, O. Tschernoster, The BMW active cruise control ACC. SAE Int. by, no. 724 (2000)

    Google Scholar 

  16. T. Henriksson, Driver assistance systems with focus on automatic emergency brake (2011)

    Google Scholar 

  17. J. Liu, J. Wu, Y. Su, C. County, Development of an Interactive Lane Keeping Control System for Vehicle, no. 6

    Google Scholar 

  18. D. Aspects, O. F. The, U. Interface, S. Vehicle, R. Departures, H. M. Interface, Jochen Pohl Jonas Ekmark Volvo Car Corporation Sweden Paper No. 529 Lane Keeping-Module Lane Tracker EPAS Road Lateral Position, pp. 1–8

    Google Scholar 

  19. B. Wendling, First revision of J3016—update on task force activities. SAE Int.

    Google Scholar 

  20. A. Paul, R. Chauhan, R. Srivastava, M. Baruah, Advanced Driver Assistance Systems (2018)

    Google Scholar 

  21. A. Driving, Automated and Autonomous Driving Regulation under uncertainty Automated and Autonomous Driving Regulation under uncertainty

    Google Scholar 

  22. T.J. Titus, S.A.V Balakrishnan, J. Sam, Fully Automated Valet Car Parking System, no. Mar 2017, pp. 69–72

    Google Scholar 

Download references

Author information

Authors and Affiliations

  1. Department of Computer Science and Engineering, SRM Institute of Science and Technology, Kattankulathur, Chennai, Tamil Nadu, 603203, India

    Keerthi Jayan & B. Muruganantham

Authors
  1. Keerthi Jayan
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. B. Muruganantham
    View author publications

    You can also search for this author in PubMed Google Scholar

Corresponding author

Correspondence to Keerthi Jayan .

Editor information

Editors and Affiliations

  1. Dpt of Electrical and Electronics Engg, Government College of Engineering, Keonjhar, India

    Subhransu Sekhar Dash

  2. Electronics and Communication Sciences, Indian Statistical Institute, Kolkata, West Bengal, India

    Swagatam Das

  3. Indian Institute of Technology, New Delhi, Delhi, India

    Bijaya Ketan Panigrahi

Rights and permissions

Reprints and permissions

Copyright information

© 2021 Springer Nature Singapore Pte Ltd.

About this paper

Check for updates. Verify currency and authenticity via CrossMark

Cite this paper

Jayan, K., Muruganantham, B. (2021). Advanced Driver Assistance System Technologies and Its Challenges Toward the Development of Autonomous Vehicle. In: Dash, S.S., Das, S., Panigrahi, B.K. (eds) Intelligent Computing and Applications. Advances in Intelligent Systems and Computing, vol 1172. Springer, Singapore. https://doi.org/10.1007/978-981-15-5566-4_6

Download citation

Publish with us

Policies and ethics

Search

Navigation