Unifying ground and air: a comprehensive review of deep learning-enabled CAVs and UAVs

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Review showcases artificial intelligence advancements in UAVs and CAVs, highlighting cybersecurity and data fusion challenges.

Integration of artificial intelligence boosts situational awareness in unmanned aerial vehicles and connected autonomous vehicles.
Deep learning models enhance real-time environmental perception, crucial for intelligent transportation systems.
Emerging wireless technologies support cooperation, while addressing cybersecurity with effective countermeasures is essential.
Understanding security vulnerabilities in AI systems is vital to prevent potential cyber attacks impacting urban mobility.

Zia et al. (2025) studied this question.

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