Fuzzy AI Gives Self-Driving Cars a Second Earlier Warning Before Lane Changes Go Wrong
A neuro-fuzzy risk index that fuses braking demand and inter-vehicle gap helped a simulated Level 3 autonomous car detect lane-change ...
A neuro-fuzzy risk index that fuses braking demand and inter-vehicle gap helped a simulated Level 3 autonomous car detect lane-change ...
A new hierarchical reinforcement learning framework pairing DDQN and DDPG cuts collision rates by more than half and reduces passenger ...
Researchers have unveiled OATA, a test-time adaptation framework that lets traffic-sign image-text matching models recover from rain, fog, glare and ...
Researchers have developed a lightweight frequency-based AI detector that achieves state-of-the-art accuracy and real-time speed on cluttered traffic scenes, running ...
In the realm of autonomous driving and intelligent transport systems, adaptive object detection has emerged as a central theme for ...
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