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.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
References
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.
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.
Liden, D. (2013). What is a driverless car? Wise Geek. 11 Oct 2013.
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.
Pozna, C. (2016). Issues about autonomous cars. In 11th IEEE International Symposium on Applied Computational Intelligence and Informatics.
McAleer, M. (2017). Audi’s self-driving a8: Drivers can watch YouTube or check emails at 60 km/h. 11 July 2017.
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.
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.
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.
Bimbraw, K. (2015). Autonomous cars: Past, present and future.
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.
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.
AL Suwaidi, M. A., Al Hammadi, F. J., et al. (2018) A prototype of an Autonomous police car to fatal accidents in Dubai.
Gallardo, N., Gamez, N., & Rad, P. (2017). Autonomous decision making for a driver-less car.
Kalms, L., Rettkowski, J., et al. (2017) Robust lane recognition for autonomous driving. ISSBN 978-1-5386-3534-6/17/$31.00.
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.
Ramos, S., et al. (2017). Detecting unexpected obstacles for self-driving cars. In Published in 2017 IEEE Intelligent Vehicles Symposium (IV).
Kim, J., Park, C. (2017). End-to-end ego lane estimation based on sequential transfer learning for self-driving cars. ISSBN 2160-7516/17.
Wang, J., & Zhou, L. (2018). Traffic light recognition with high dynamic range imaging. ISSBN 1524-9050.
Jo, K., Jang, H., et al. (2015). Development of autonomous car-Part II. IEEE Transactions on Industrial Electronics, 62(8). (Aug 2015).
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2020 Springer Nature Singapore Pte Ltd.
About this paper
Cite this paper
Shreyas, V., Bharadwaj, S.N., Srinidhi, S., Ankith, K.U., Rajendra, A.B. (2020). Self-driving Cars: An Overview of Various Autonomous Driving Systems. In: Kolhe, M., Tiwari, S., Trivedi, M., Mishra, K. (eds) Advances in Data and Information Sciences. Lecture Notes in Networks and Systems, vol 94. Springer, Singapore. https://doi.org/10.1007/978-981-15-0694-9_34
Download citation
DOI: https://doi.org/10.1007/978-981-15-0694-9_34
Published:
Publisher Name: Springer, Singapore
Print ISBN: 978-981-15-0693-2
Online ISBN: 978-981-15-0694-9
eBook Packages: EngineeringEngineering (R0)