A Review on AI-Driven Approaches for Autonomous Vehicles: Progress and Challenges

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Review reveals breakthroughs in AI for autonomous vehicles, indicating critical challenges and future directions.

Autonomous vehicles enhanced by AI-driven approaches show improved object detection accuracy and decision-making capabilities.
Recent advancements include multi-sensor fusion and hierarchical reinforcement learning as pivotal technologies.
This systematic review assesses challenges like performance in extreme weather and public skepticism toward interactions with AI systems.
The findings highlight the need for explainable AI and cross-domain collaboration for trustworthy autonomous driving solutions.

Rui Zhang (2025) studied this question.

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