New taxonomy maps how human drivers err around autonomous vehicles
A new evidence synthesis proposes a taxonomy linking autonomous-vehicle interaction factors to human driver errors, finding unsafe behavior concentrated in ...
A new evidence synthesis proposes a taxonomy linking autonomous-vehicle interaction factors to human driver errors, finding unsafe behavior concentrated in ...
A new hierarchical reinforcement learning framework pairing DDQN and DDPG cuts collision rates by more than half and reduces passenger ...
A study of real Lyft, Waymo, and adaptive cruise control trajectories finds that automated vehicles follow more safely than humans ...
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© 2025 Scienmag - Science Magazine