Abstract
Autonomous vehicle is a major application of Artificial Intelligence. Artificial Intelligence systems, that use machine learning techniques to gather, analyze, and transfer data, are used in autonomous vehicles to make judgments that would normally be made by humans. Over the last decade, researchers and the car industry became very active in the deployment of driverless cars as they can greatly increase safety of the vehicle, rate of traffic accidents, and the effect of climate on automobiles. In implementing automated driving, software architecture plays a crucial function. The ability of driverless vehicles to work in real-world situations in a healthy and stable manner is currently being studied in public roads. In this paper, we have explained the background of Artificial Intelligence and how its applications are helping the world getting smarter. The role of Artificial Intelligence in autonomous vehicle industry has been discussed in this paper. Also, we tried to describe the relation of Artificial Intelligence and autonomous vehicles as well as presented the evolution of Artificial Intelligence from 1936 to 2020 with the help of a systematic review and explained how Artificial Intelligence is involved in the success of autonomous vehicles.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Similar content being viewed by others
References
Rana K, Kaur P (2021) Comparative study of automotive sensor technologies used for unmanned driving. In: 2021 2nd international conference on computation, automation and knowledge management (ICCAKM). IEEE, pp 346–350
Hristozov A (2020) The role of artificial intelligence in autonomous vehicles. [Online]. Available: https://www.embedded.com/the-role-of-artificial-intelligence-in-autonomous-vehicles/
Lin P-H, Wooders A, Wang JT-Y, Yuan WM (2018) Artificial intelligence, the missing piece of online education? IEEE Eng Manage Rev 46(3):25–28
Elsayed GF et al (2018) Adversarial examples that fool both computer vision and time-limited humans. arXiv preprint arXiv:1802.08195
Cantú-Ortiz FJ, Galeano Sánchez N, Garrido L, Terashima-Marin H, Brena RF (2020) An artificial intelligence educational strategy for the digital transformation. Int J Interact Des Manuf (IJIDeM) 14(4):1195–1209
Saini F, Sharma T, Madan S (2022) A comparative analysis of expert opinions on artificial intelligence: evolution, applications, and its future. Adv J Graduate Res 11(1):10–22
Borges AFS, Laurindoa FJB, Spínolaa MM, Gonçalvesb RF, Mattos CA (2020) The strategic use of artificial intelligence in the digital era: systematic literature review and future research directions. Int J Inf Manage 57:1–16. https://doi.org/10.1016/j.ijinfomgt.2020.102225
Nascimento AM, Vismari LF, Molina CBST, Cugnasca PS, Camargo JB, de Almeida JR, Hata AY et al (2019) A systematic literature review about the impact of artificial intelligence on autonomous vehicle safety. IEEE Trans Intell Transp Syst 21(12):4928–4946
Pérez-Gil O, Barea R, López-Guillén E, Bergasa LM, Gómez-Huelamo C, Gutiérrez R, Díaz-Díaz A (2022) Deep reinforcement learning based control for autonomous vehicles in CARLA. Multimedia Tools Appl 1–24
Khayyam H, Javadi B, Jalili M, Jazar RN (2020) Artificial intelligence and internet of things for autonomous vehicles. In: Nonlinear approaches in engineering applications, Springer, pp 39–68
Seshia SA, Sadigh D, Sastry SS (2016) Towards verified artificial intelligence. arXiv preprint arXiv:1606.08514
Schwarting W, Pierson A, Alonso-Mora J, Karaman S, Rus D (2019) Social behaviour for autonomous vehicles. Proc Natl Acad Sci 116(50):24972–24978
Shadrin SS, Varlamov OO, Ivanov AM (2017) Experimental autonomous road vehicle with logical artificial intelligence. J Adv Transp 2017
Schwarting W, Alonso-Mora J, Rus D (2018) Planning and decision-making for autonomous vehicles. Annual Rev Control, Robot Auton Syst 1:187–210
Tong W, Hussain A, Bo WX, Maharjan S (2019) Artificial intelligence for vehicle-to-everything: a survey. IEEE Access 7:10823–10843
Li J, Cheng H, Guo H, Qiu S (2018) Survey on artificial intelligence for vehicles. Autom Innov 1(1):2–14
He Q, Meng X, Qu R, Xi R (2020) Machine learning-based detection for cyber security attacks on connected and autonomous vehicles. Mathematics 8(8):1311
Meyer-Waarden L, Cloarec J (2021) Baby, you can drive my car: psychological antecedents that drive consumers’ adoption of AI-powered autonomous vehicles. Technovation 102348
Nascimento AM et al (2019) A systematic literature review about the impact of artificial intelligence on autonomous vehicle safety. IEEE Trans Intell Transp Syst 21(12):4928–4946
Ma Y, Wang Z, Yang H, Yang L (2020) Artificial intelligence applications in the development of autonomous vehicles: a survey. IEEE/CAA J Automatica Sinica 7(2):315–329
Banerjee S (2020) Autonomous vehicles: a review of the ethical, social and economic implications of the AI revolution. Int J Intell Unmanned Syst
Castro D, New J (2016) The promise of artificial intelligence. Center Data Innov 115(10):32–35
Machin M, Sanguesa JA, Garrido P, Martinez FJ (2018) On the use of artificial intelligence techniques in intelligent transportation systems. In: 2018 IEEE wireless communications and networking conference workshops (WCNCW). IEEE, pp 332–337
Taxonomy and Definitions for Terms Related to Driving Automation Systems for On-Road Motor Vehicles, ed: SAE International, 2021
Pei Y, Li X, Yu L, Li G, Ng HH, Hoe JKE, Ang CW, Ng WS, Takao K, Shibata H, Okada K (2017) A cloud-based stream processing platform for traffic monitoring using large-scale probe vehicle data. In: IEEE wireless communications and networking conference (WCNC), pp 1–6
Russell S, Norvig P (2016) Artificial intelligence: a modern approach, 3rd ed. Pearson
Barrachina J, Garrido P, Fogue M, Martinez FJ, Cano JC, Calafate CT, Manzoni P (2012) CAOVA: a car accident ontology for VANETs. In: IEEE wireless communications and networking conference (WCNC), pp 1864–1869
Fogue M, Sanguesa JA, Naranjo F, Gallardo J, Garrido P, Martinez FJ (2016) Non-emergency patient transport services planning through genetic algorithms. Expert Syst Appl 61:262–271
Qureshi KN, Abdullah AH (2013) A survey on intelligent transportation systems. Middle-East J Sci Res 15(5):629–642
Martinez FJ, Toh CK, Cano J-C, Calafate CT, Manzoni P (2012) Determining the representative factors affecting warning message dissemination in VANETs. Wireless Pers Commun 67(2):295–314
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2023 The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.
About this paper
Cite this paper
Rana, K., Gupta, G., Vaidya, P., Tomar, A., Kumar, N. (2023). Evolution of Autonomous Vehicle: An Artificial Intelligence Perspective. In: Singh, Y., Singh, P.K., Kolekar, M.H., Kar, A.K., Gonçalves, P.J.S. (eds) Proceedings of International Conference on Recent Innovations in Computing. Lecture Notes in Electrical Engineering, vol 1001. Springer, Singapore. https://doi.org/10.1007/978-981-19-9876-8_6
Download citation
DOI: https://doi.org/10.1007/978-981-19-9876-8_6
Published:
Publisher Name: Springer, Singapore
Print ISBN: 978-981-19-9875-1
Online ISBN: 978-981-19-9876-8
eBook Packages: Intelligent Technologies and RoboticsIntelligent Technologies and Robotics (R0)