Advertisement

Self-driving Cars: An Overview of Various Autonomous Driving Systems

  • V. ShreyasEmail author
  • Skanda N. Bharadwaj
  • S. Srinidhi
  • K. U. Ankith
  • A. B. Rajendra
Conference paper
Part of the Lecture Notes in Networks and Systems book series (LNNS, volume 94)

Abstract

A car that can navigate by itself without being dependent on human for inputs is known as a self-driving car. There has been a great advancement in automobile industry which is bringing new technologies every day. There are various types of autonomous cars and they are divided based on their level of automation, which includes level 0 to level 5. Advanced methodologies are used to build these cars, and concepts like machine learning and computer vision play a vital role in development of these cars. The accuracy varies based on lots of factors including both internal and external factors. This paper presents survey done on various technologies used in these cars with their results and also about their current trends.

Keywords

Autonomous car Self-driving cars Autonomous vehicle Neural network 

References

  1. 1.
    Tian, Y., & Pei, K. (2018). Automated testing of deep-neural-network-driven autonomous cars. In Published in 2018 ACM/IEEE 40th International Conference on Software Engineering.Google Scholar
  2. 2.
    Vishnukumar, H. J., Dr. Müller, C., et al. (2017). Artificial intelligence core for lab and real-world test and validation for ADAS and autonomous vehicles. In Published in Intelligent Systems Conference 2017.Google Scholar
  3. 3.
    Liden, D. (2013). What is a driverless car? Wise Geek. 11 Oct 2013.Google Scholar
  4. 4.
    Wentao, Z., et al. (2014). Vehicle detection in driving simulation using extreme learning machine. Neurocomputing, 128, 160–165.  https://doi.org/10.1016/j.neucom.2013.05.052.
  5. 5.
    Pozna, C. (2016). Issues about autonomous cars. In 11th IEEE International Symposium on Applied Computational Intelligence and Informatics.Google Scholar
  6. 6.
    McAleer, M. (2017). Audi’s self-driving a8: Drivers can watch YouTube or check emails at 60 km/h. 11 July 2017.Google Scholar
  7. 7.
    Fayjie, A. R., Hossain, S., et al. (2018). Driverless car: Autonomous driving using deep reinforcement learning. In Published in 2018 15th International Conference on Ubiquitous Robots.Google Scholar
  8. 8.
    O¨ fja¨ll, K., Felsberg, M., & Robinson, A. (2016). Visual autonomous road following by symbiotic online learning. IISBN 978-1-5090-1821-5/16/$31.00.Google Scholar
  9. 9.
    Shamsher, R., & Abdullah, M. N. (2015). Traffic congestion in Bangladesh-causes and solutions: a study of Chittagong metropolitan city. Asian Business Review, 2(1), 13–18.Google Scholar
  10. 10.
    Bimbraw, K. (2015). Autonomous cars: Past, present and future.Google Scholar
  11. 11.
    Zhiwei, S., et al. (2015) Map free lane following based on low-cost laser scanner for near future autonomous service vehicle. In Published in 2015 IEEE Intelligent Vehicles Symposium, South Korea.Google Scholar
  12. 12.
    Zhang, W., et al. (2016). Distributed embedded deep learning based real-time video processing. In Published in 2016 IEEE International Conference on Systems, Man, and Cybernetics.Google Scholar
  13. 13.
    AL Suwaidi, M. A., Al Hammadi, F. J., et al. (2018) A prototype of an Autonomous police car to fatal accidents in Dubai.Google Scholar
  14. 14.
    Gallardo, N., Gamez, N., & Rad, P. (2017). Autonomous decision making for a driver-less car.Google Scholar
  15. 15.
    Kalms, L., Rettkowski, J., et al. (2017) Robust lane recognition for autonomous driving. ISSBN 978-1-5386-3534-6/17/$31.00.Google Scholar
  16. 16.
    Prabhakar, G., Kailath, B., et al. (2017). Obstacle detection and classification using deep learning for tracking in high-speed autonomous driving. ISSBN 978-1-5090-6255-3/17/$31.00.Google Scholar
  17. 17.
    Ramos, S., et al. (2017). Detecting unexpected obstacles for self-driving cars. In Published in 2017 IEEE Intelligent Vehicles Symposium (IV).Google Scholar
  18. 18.
    Kim, J., Park, C. (2017). End-to-end ego lane estimation based on sequential transfer learning for self-driving cars. ISSBN 2160-7516/17.Google Scholar
  19. 19.
    Wang, J., & Zhou, L. (2018). Traffic light recognition with high dynamic range imaging. ISSBN 1524-9050.Google Scholar
  20. 20.
    Jo, K., Jang, H., et al. (2015). Development of autonomous car-Part II. IEEE Transactions on Industrial Electronics, 62(8). (Aug 2015).Google Scholar

Copyright information

© Springer Nature Singapore Pte Ltd. 2020

Authors and Affiliations

  • V. Shreyas
    • 1
    Email author
  • Skanda N. Bharadwaj
    • 1
  • S. Srinidhi
    • 1
  • K. U. Ankith
    • 1
  • A. B. Rajendra
    • 1
  1. 1.Department of Information Science and EngineeringVidyavardhaka College of EngineeringMysuruIndia

Personalised recommendations