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Vulnerable road user detection: state-of-the-art and open challenges
(2019)
Correctly identifying vulnerable road users (VRUs), e.g. cyclists and pedestrians, remains one of the most challenging environment perception tasks for autonomous vehicles (AVs). This work surveys the current state-of-the-art ...
Curriculum Learning for Tightly Coupled Multiagent Systems
(2019)
In this paper,we leverage curriculum learning(CL) to improve the performance of multiagent systems(MAS) that are trained
with the cooperative coevolution of artificial neural networks. We design curricula to progressively ...