Intelligent Self-Driving Car Architecture: Integrating AI and Machine Learning for Autonomous Mobility Systems
Keywords:
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Abstract
The evolution of autonomous vehicles (AVs) has been a transformative journey, marked by significant advancements in sensor technologies, computational power, and algorithmic complexity. Early developments in AVs were primarily focused on automating basic driving tasks, such as cruise control and lane-keeping assistance. However, the advent of more sophisticated sensors like LiDAR, radar, and high-resolution cameras, combined with powerful onboard computing systems, has paved the way for vehicles capable of full autonomy. In recent years, companies like Waymo and Tesla have made notable strides in deploying AVs in real-world environments.
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9. Kiran, B. R., Sobh, I., Talpaert, V., Mannion, P., Al Sallab, A., Yogamani, S., & Pérez, P. (2021). Deep Reinforcement Learning for Autonomous Driving: A Survey. IEEE Transactions on Intelligent Transportation Systems, 22(6), 1–18.
10. Schwarting, W., Alonso-Mora, J., & Rus, D. (2018). Planning and Decision-Making for Autonomous Vehicles. Annual Review of Control, Robotics, and Autonomous Systems, 1, 187–210.
11. Geiger, A., Lenz, P., & Urtasun, R. (2013). Are we ready for Autonomous Driving? The KITTI Vision Benchmark Suite. CVPR.
12. Cordts, M., Omran, M., Ramos, S., Rehfeld, T., Enzweiler, M., Benenson, R., Franke, U., Roth, S., & Schiele, B. (2016). The Cityscapes Dataset for Semantic Urban Scene Understanding. CVPR.
13. Caesar, H., Bankiti, V., Lang, A. H., Vora, S., Liong, V. E., Xu, Q., Krishnan, A., Pan, Y., Baldan, G., & Beijbom, O. (2020). nuScenes: A multimodal dataset for autonomous driving. CVPR.
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15. Shah, S., Dey, D., Lovett, C., & Kapoor, A. (2018). AirSim: High-Fidelity Visual and Physical Simulation for Autonomous Vehicles. arXiv preprint arXiv:1801.06512.
16. Chen, T., Goodfellow, I., & Shlens, J. (2017). Efficient Processing for Real-Time Deep Learning in Autonomous Vehicles. arXiv preprint arXiv:1704.06364.
17. Grigorescu, S., Trasnea, B., Cocias, T., & Macesanu, G. (2020). A Survey of Deep Learning Techniques for Autonomous Driving. Journal of Field Robotics, 37(3), 362–386.
18. Kiran, B. R., Sobh, I., Talpaert, V., Mannion, P., Al Sallab, A., Yogamani, S., & Pérez, P. (2021). Deep Reinforcement Learning for Autonomous Driving: A Survey. IEEE Transactions on Intelligent Transportation Systems, 22(6), 1–18.
Published
2025-01-08
How to Cite
Manish Khute, & Dr. Vijayalaxmi biradar. (2025). Intelligent Self-Driving Car Architecture: Integrating AI and Machine Learning for Autonomous Mobility Systems. Revista Electronica De Veterinaria, 25(1), 4541 - 4546. https://doi.org/10.69980/redvet.v25i1.2391
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