Traditional approaches to autonomous vehicles (AVs) rely on using millions of miles of driving data in conjunction with even more miles of simulated data as inputs to supervised machine learning ...
A research team from Sichuan University has proposed a lightweight and robust entropy-regularized unsupervised domain adaptation framework (LRE-UDAF ...
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