Challenges in designing datasets and validation for autonomous driving
Autonomous driving is getting a lot of attention in the last decade and will be the hot topic at
least until the first successful certification of a car with Level 5 autonomy. There are many
public datasets in the academic community. However, they are far away from what a robust
industrial production system needs. There is a large gap between academic and industrial
setting and a substantial way from a research prototype, built on public datasets, to a
deployable solution which is a challenging task. In this paper, we focus on bad practices that …
least until the first successful certification of a car with Level 5 autonomy. There are many
public datasets in the academic community. However, they are far away from what a robust
industrial production system needs. There is a large gap between academic and industrial
setting and a substantial way from a research prototype, built on public datasets, to a
deployable solution which is a challenging task. In this paper, we focus on bad practices that …
[引用][C] Challenges in designing datasets and validation for autonomous driving. arXiv 2019
M Uricár, D Hurych, P Krizek, S Yogamani - arXiv preprint arXiv:1901.09270
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