A Survey on Autonomous Driving Datasets

Abstract

Currently the autonomous driving is one of the rapidly developing and widely concerned fields, which involves numerous artificial intelligence algorithms. Generally, these artificial intelligence algorithms require a large amount of diverse data for training and testing to ensure their performance in actual applications. In this paper, we introduce the types of data related to the autonomous driving, compare multiple datasets, and discusse the key issues in the process of dataset collection and generation.