Self-Balancing Online Dataset for Incremental Driving Intelligence
Hyung-Suk Yoon,Chan Kim,Seong-Woo Kim,Seung-Woo Seo,Hyung-Suk Yoon,Chan Kim,Seong-Woo Kim,Seung-Woo Seo
Autonomous driving with imitation learning is vulnerable to the quality of an expert dataset. Typical driving involves situations or online data that are biased toward specific scenarios such as lane following or stop. This property causes an imbalance in the driving dataset, and it is highly likely to deteriorate the performance of autonomous driving with imitation learning. In this paper, we pro...
