AI-Driven Systems for Autonomous Vehicle Driver Assistance and Interaction
Cover
PDF

How to Cite

[1]
Dr. Hyo-Sung Kim, “AI-Driven Systems for Autonomous Vehicle Driver Assistance and Interaction”, Journal of Bioinformatics and Artificial Intelligence, vol. 1, no. 1, pp. 68–82, Jun. 2024, Accessed: Sep. 19, 2024. [Online]. Available: https://biotechjournal.org/index.php/jbai/article/view/25

Abstract

Autonomous vehicles use artificial intelligence and sensor information to perform complex control operations during vehicle driving and are classified into five different degrees of driving assistance. By classifying a vehicle into one of the different levels of vehicle automation according to the human responsibility during the automated driving setup, various applications of autonomous driving technologies can be demonstrated with evolving geometric constraints.

PDF

References

J. K. Møller, "Artificial Intelligence in Automotive Industry: Deep Learning, Machine Learning, and Driver Assistance," IEEE Access, vol. 8, pp. 43258-43265, 2020.

L. Liu, M. C. Zhou, and Q. Zhu, "Adaptive Driver Assistance System Based on Reinforcement Learning," IEEE Transactions on Intelligent Transportation Systems, vol. 21, no. 8, pp. 3431-3441, 2020.

P. Jiang, R. Gao, and H. Zhang, "Driver Behavior Prediction Using Deep Learning Models," IEEE Transactions on Intelligent Transportation Systems, vol. 22, no. 4, pp. 2487-2497, 2021.

Y. Chen et al., "AI-Based Advanced Driver Assistance System: A Survey," IEEE Transactions on Industrial Informatics, vol. 17, no. 6, pp. 4103-4114, 2021.

Shaik, Mahammad, et al. "Granular Access Control for the Perpetually Expanding Internet of Things: A Deep Dive into Implementing Role-Based Access Control (RBAC) for Enhanced Device Security and Privacy." British Journal of Multidisciplinary and Advanced Studies 2.2 (2018): 136-160.

Tatineni, Sumanth. "Cost Optimization Strategies for Navigating the Economics of AWS Cloud Services." International Journal of Advanced Research in Engineering and Technology (IJARET) 10.6 (2019): 827-842.

Vemoori, Vamsi. "Comparative Assessment of Technological Advancements in Autonomous Vehicles, Electric Vehicles, and Hybrid Vehicles vis-à-vis Manual Vehicles: A Multi-Criteria Analysis Considering Environmental Sustainability, Economic Feasibility, and Regulatory Frameworks." Journal of Artificial Intelligence Research 1.1 (2021): 66-98.

S. Garg, A. K. Verma, and V. K. Singh, "Artificial Intelligence in Driver Assistance and Safety Systems," IEEE Transactions on Intelligent Transportation Systems, vol. 22, no. 7, pp. 4369-4378, 2021.

R. S. Sutton and A. G. Barto, "Reinforcement Learning: An Introduction," IEEE Transactions on Neural Networks, vol. 18, no. 4, pp. 1046-1054, 2007.

Y. Zhang, J. Wang, and L. Xie, "End-to-End Learning for Intelligent Driver Assistance Systems," IEEE Transactions on Vehicular Technology, vol. 69, no. 12, pp. 14512-14524, 2020.

A. Doshi, S. Y. Cheng, and M. M. Trivedi, "Active Learning for On-Road Vehicle Recognition Using Artificial Neural Networks," IEEE Transactions on Intelligent Transportation Systems, vol. 17, no. 8, pp. 2177-2188, 2016.

M. Wang et al., "Hybrid Vehicle Driver Assistance Systems: A Review of Machine Learning Methods," IEEE Transactions on Vehicular Technology, vol. 69, no. 12, pp. 14600-14616, 2020.

R. R. A. Issa, "AI in Autonomous Vehicles: Driver Monitoring and Assistance," IEEE Intelligent Transportation Systems Magazine, vol. 12, no. 3, pp. 14-24, 2020.

P. K. Atrey et al., "Context-Aware Driver Assistance Using Machine Learning," IEEE Transactions on Multimedia, vol. 22, no. 5, pp. 1189-1201, 2020.

Y. Li, "Real-Time Driver Behavior Analysis Using AI," IEEE Transactions on Intelligent Vehicles, vol. 5, no. 2, pp. 197-205, 2020.

K. Dwivedi, "AI and Driver Assistance: Algorithms and Applications," IEEE Access, vol. 8, pp. 173265-173278, 2020.

T. Inoue et al., "AI-Driven Vehicle Control for Driver Assistance Systems," IEEE Transactions on Intelligent Transportation Systems, vol. 21, no. 10, pp. 4225-4234, 2020.

S. Sivaraman and M. M. Trivedi, "Dynamic Vehicle Detection and Tracking for Driver Assistance Systems," IEEE Transactions on Intelligent Transportation Systems, vol. 14, no. 4, pp. 1744-1755, 2013.

H. Xu et al., "Deep Learning for Autonomous Driving: Challenges and Opportunities," IEEE Transactions on Intelligent Vehicles, vol. 5, no. 3, pp. 393-408, 2020.

X. Hu et al., "AI-Based Driver Assistance Systems: A Review," IEEE Transactions on Intelligent Transportation Systems, vol. 21, no. 7, pp. 2873-2885, 2020.

Y. Zhao et al., "Artificial Intelligence in Human-Machine Interaction for Driver Assistance," IEEE Transactions on Human-Machine Systems, vol. 50, no. 4, pp. 330-338, 2020.

A. Jain, "Machine Learning Techniques for Advanced Driver Assistance Systems," IEEE Access, vol. 7, pp. 110852-110860, 2019.

Downloads

Download data is not yet available.