most citedSample Efficient Interactive End-to-End Deep Learning for Self-Driving Cars with Selective Multi-Class Safe Dataset Aggregation

13 citations · 13 across the 1 of their papers we have counts for

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1 paper

cs.RO2020★ 13 cited

Sample Efficient Interactive End-to-End Deep Learning for Self-Driving Cars with Selective Multi-Class Safe Dataset Aggregation

Yunus Bicer, Ali Alizadeh, Nazim Kemal Ure +2

The objective of this paper is to develop a sample efficient end-to-end deep learning method for self-driving cars, where we attempt to increase the value of the information extrac…