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Stream/Area:
-
Subject:
-
Paper ID:
IJSREM42168
Volume:
9 |
3 |
Mar 2025
Pages:
Publication Frequency:
Monthly (12 issues per year)
License:International Journal of Scientific Research in Engineering and Management follows the Creative Commons Attribution 4.0 (CC BY 4.0) License, allowing free use and distribution with proper attribution.
Self-driving cars are reshaping the future of transportation, promising safer roads and improved traffic efficiency. This paper delves into the essential components of autonomous vehicles, such as sensor technologies, AI-driven decision-making, and environmental awareness. We discuss how artificial intelligence, deep learning, and reinforcement learning enhance autonomous driving capabilities. Additionally, we explore key challenges like real-time obstacle avoidance, sensor fusion, and ethical dilemmas in deploying self-driving systems. The paper underscores the need for continued technological advancements, regulatory policies, and sustainable strategies to unlock the full potential of self-driving cars.
KEYWORDS
Publication Date
7/2/2025
Peer Review Type
Double-Blind Peer Review
Review Rounds: 2
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Conflict of Interest
The authors declare no conflict of interest related to this research work.
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