Advancing Artificial Intelligence for Autonomous Vehicle Navigation: Enhancing Safety, Efficiency and Real-World Performance in Self-Driving Cars
Kasula Raghu, V. Subba Ramaiah, P. Mathiyalagan, Savitha P., Sannath Begum T., G. V. Rambabu
2025
Abstract
Artificial intelligence (AI) has an essential role in the development of autonomous vehicle (AV) navigation, by providing intelligent decision making, instantaneously sensing the environment, and adaptive control structure. To the best of our knowledge, this work significantly fills the gaps in the state-of-the-art methods with the lack of validations in real worlds, the poor computation efficiency, the narrow explanation, and preserving edge-case. Your proposed AI framework will use lightweight, Explainable models to work effectively in dynamic urban environments, including complex weather and low probability of traffic events situations. Compared to existing approaches which are limited to either simulations or theoretical analysis, we propose a hybrid evaluation model that includes both real-world datasets and synthetic areas to achieve the balance of robustness and scalability. Furthermore, the research closes the gap between technical design and regulations, making it possible to satisfy safety requirements and performance targets. The findings can provide a trustful and explainable AV navigation system under a wide range of adverse and uncertain circumstances.
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in Harvard Style
Raghu K., Ramaiah V., Mathiyalagan P., P. S., T. S. and Rambabu G. (2025). Advancing Artificial Intelligence for Autonomous Vehicle Navigation: Enhancing Safety, Efficiency and Real-World Performance in Self-Driving Cars. In Proceedings of the 1st International Conference on Research and Development in Information, Communication, and Computing Technologies - Volume 1: ICRDICCT`25; ISBN 978-989-758-777-1, SciTePress, pages 645-651. DOI: 10.5220/0013870700004919
in Bibtex Style
@conference{icrdicct`2525,
author={Kasula Raghu and V. Ramaiah and P. Mathiyalagan and Savitha P. and Sannath T. and G. Rambabu},
title={Advancing Artificial Intelligence for Autonomous Vehicle Navigation: Enhancing Safety, Efficiency and Real-World Performance in Self-Driving Cars},
booktitle={Proceedings of the 1st International Conference on Research and Development in Information, Communication, and Computing Technologies - Volume 1: ICRDICCT`25},
year={2025},
pages={645-651},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0013870700004919},
isbn={978-989-758-777-1},
}
in EndNote Style
TY - CONF
JO - Proceedings of the 1st International Conference on Research and Development in Information, Communication, and Computing Technologies - Volume 1: ICRDICCT`25
TI - Advancing Artificial Intelligence for Autonomous Vehicle Navigation: Enhancing Safety, Efficiency and Real-World Performance in Self-Driving Cars
SN - 978-989-758-777-1
AU - Raghu K.
AU - Ramaiah V.
AU - Mathiyalagan P.
AU - P. S.
AU - T. S.
AU - Rambabu G.
PY - 2025
SP - 645
EP - 651
DO - 10.5220/0013870700004919
PB - SciTePress