- Open Access
- Article
Navigating the Autonomous Era: A Detailed Survey of Driverless Cars
by Vaibhavi Tiwari 
Vaibhavi Tiwari, School of Computing, Montclair State University, New Jersey, USA
* Author to whom correspondence should be addressed.
Journal of Engineering Research and Sciences, Volume 3, Issue 10, Page # 21-36, 2024; DOI: 10.55708/js0310003
Keywords: Driverless cars, autonomous vehicles, sensor, AI, V2X communication, SAE levels of automation, cybersecurity
Received: 11 September 2024, Revised: 11 October 2024, Accepted: 12 October 2024, Published Online: 22 October 2024
(This article belongs to the Special Issue Special Issue on Multidisciplinary Sciences and Advanced Technology 2024 & Section Biochemical Research Methods (BRM))
APA Style
Tiwari, V. (2024). Navigating the autonomous era: A detailed survey of driverless cars. Journal of Engineering Research and Sciences, 3(10), 21-36. https://doi.org/10.55708/js0310003
Chicago/Turabian Style
Tiwari, Vaibhavi. “Navigating the Autonomous Era: A Detailed Survey of Driverless Cars.” Journal of Engineering Research and Sciences 3, no. 10 (2024): 21-36. https://doi.org/10.55708/js0310003.
IEEE Style
V. Tiwari, “Navigating the autonomous era: A detailed survey of driverless cars,” Journal of Engineering Research and Sciences, vol. 3, no. 10, pp. 21-36, 2024, doi: 10.55708/js0310003.
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Abstract
The incorporation of cutting-edge technologies like sensor networks, artificial intelligence (AI), and vehicle-to everything (V2X) communication has hastened the rollout of autonomous vehicles (AVs), offering significant possibilities for the future of transportation. This document offers an extensive overview of AV technology, covering essential elements such as technological infrastructure, degrees of automation, cybersecurity threats, societal impacts, regulatory structures, and emerging trends. This analysis emphasizes the existing obstacles and progress within the industry by examining the activities of key entities like Tesla, Waymo, and General Motors. Additionally, a comparative examination of autonomous vehicles and drones is performed, providing distinct perspectives on possible cybersecurity vulnerabilities shared by both technologies, including GPS spoofing, jamming, and unauthorized data interception. This multifaceted approach highlights not only the existing vulnerabilities but also proposes proactive measures that can be implemented to reduce comparable risks across various AV platforms. The results highlight the necessity of establishing strong cybersecurity measures, overcoming regulatory challenges, and building public confidence to realize the complete promise of autonomous vehicles as secure, effective, and eco-friendly transportation options. This analysis provides an essential resource for comprehending the complex aspects of AV technology and its consequences, offering readers a comprehensive perspective on the challenges and opportunities within the autonomous vehicle sector.
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References
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