In this article, we provided a comprehensive overview of ADAS operating principles, various types and variants, and their functions and options. We discussed the specific features of ADAS based on their various safety applications. We also examined the importance of advanced communication systems, such as V2X, and sensor data fusion methods for future autonomous vehicles.
Advanced Driver Assistance Systems in Cars: Intelligent Connected Cars
DOI:
Abstract
References
Litman, T., Assessing Smart Mobility and Transport Innovation. Victorian Transport Policy Institute, 2022.
Kenny, J.B., Short-range ad hoc communications and C-V2X. Proceedings of the IEEE, 2021, 109(7), 1102–1118.
OECD, Transport Innovation and Smart Mobility. OECD Publishing, 2021.
WHO, Global status report on road safety. World Health Organization, 2023.
Rajamani, R., Vehicle Dynamics and Control (3rd ed.). Springer, 2021.
SAE., Taxonomy and Definitions of Terms Related to Driving Automation Systems (J3016). SAE International, 2021.
S. Kuutti, R. Bowden, I. Jin, P. Barber, and S. Fallah, “A Survey of Deep Learning Applications for Autonomous Vehicle Control,” IEEE Trans. Intell. Transp. Syst., vol. 22, no. 2, pp. 712–733, February 2021.
Cicchino, J. B., Effectiveness of Forward Collision Warning Systems. Accident Analysis and Prevention, 2020, 142, 105540.
Fields, B., Low-speed autonomous emergency braking performance. Accident Analysis and Prevention, 2021, 153, 106010.
L. Li, S. Wang, Y. Zhang, J. Hu, and Z. Li, “Energy-efficient driving strategies enabled by ADAS,” Transportation Research Part D: Transport and Environment, vol. 102, 103137, 2022.
B. Khaleghi, A. Khamis, F. O. Karrai, and S. N. Razavi, “Multisensor data fusion: A review of the state of the art,” Information Fusion, vol. 72, pp. 1–19, 2021.
L. Chen, S. Peng, J. Li, and Y. Wang, “Deep learning-based object detection for autonomous driving,” IEEE Trans. Intell. Transp. Syst., vol. 22, no. 10, pp. 6225–6239, October 2021.