Interconnection and Autonomous Driving: Concepts, Development process and Applications
DOI:
https://doi.org/10.54097/9d6wj865Keywords:
interconnection, autonomous driving, privacy concern, cybersecurity threat.Abstract
This paper provides an in-depth discussion on the concepts, development process, applications and integration of interconnection technology and autonomous driving technology. Through a comprehensive introduction to these two technologies, it reveals their positive impacts in the field of transportation and analyzes the advantages of their integration. As a technology which can connect various domains, interconnection has become a transformative force. Its implications are far-reaching, which impacts not only the digital field, but also the transportation field. Concurrently, autonomous driving technology, which dedicates to enabling vehicles to move without human intervention, is representing the future of efficient and safe transportation. In the parts of the integration of these two technologies, this paper introduces its positive impacts on driving efficiency, traffic management, and safety. However, challenges such as privacy concerns and cybersecurity threats are existed, too. Finally, some possible solutions to these issues are concluded and the future of interconnection and autonomous driving technology is anticipated.
Downloads
References
L. Kleinrock, "An early history of the internet: History of Communications," IEEE Communications Magazine, vol. 48, no. 8, pp. 26-36, August 2010.
T. Berners-Lee, Weaving the Web: The Original Design and Ultimate Destiny of the World Wide Web by Its Inventor, Harper San Francisco, 1999.
U. Hoelzle and L. A. Barroso, The Datacenter as a Computer: Designing Warehouse-Scale Machines, Cham, Springer Nature Publishing, 2009.
L. Atzori, A. Iera, and G. Morabito, "The Internet of Things: A Survey," Computer Networks, vol. 54, no. 15, pp. 2787-2805, 2010.
He Jianjia, Liu Gang, Tan Xiaojun, Li Tingting, "Research on collaborative recommendation of dynamic medical services based on cloud platforms in the industrial interconnection environment," Technological Forecasting and Social Change, vol.170, 2021.
F. Tao, Q. Qi, L. Wang, et al., "Digital twins and cyber–physical systems toward smart manufacturing and industry 4.0: Correlation and comparison," Engineering, vol. 5, no. 4, pp. 653-661, 2019.
X. Fang, S. Misra, G. Xue, et al., "Smart grid—The new and improved power grid: A survey," IEEE Communications Surveys & Tutorials, vol. 14, no. 4, pp. 944-980, 2011.
G. G. Parker, M. W. Van Alstyne, and S. P. Choudary, "Platform Revolution: How Networked Markets Are Transforming the Economy and How to Make Them Work for You," W. W. Norton & Company, 2016.
M. Darms, P. Rybski, and C. Urmson, "Classification and tracking of dynamic objects with multiple sensors for autonomous driving in urban environments," in 2008 IEEE Intelligent Vehicles Symposium, pp. 1197-1202, 2008.
M. R. Bachute and J. M. Subhedar, "Autonomous driving architectures: Insights of machine learning and deep learning algorithms," Machine Learning with Applications, vol. 6, 2021.
J. Miller, "Vehicle-to-vehicle-to-infrastructure (V2V2I) intelligent transportation system architecture," in 2008 IEEE Intelligent Vehicles Symposium, IEEE, 2008.
S. A. Bagloee, et al., "Autonomous vehicles: Challenges, opportunities, and future implications for transportation policies," Journal of Modern Transportation, vol. 24, 2016, pp. 284-303, 2016.
Downloads
Published
Issue
Section
License
Copyright (c) 2024 Highlights in Science, Engineering and Technology
This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.
