@inproceedings{fd32d2d03f694b7c962adc0101b3ddcb,
title = "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.",
keywords = "Automatic labeling, Autonomous driving, Data type, Dataset, Domain adaptation",
author = "Weiyu Liu and Qian Dong and Pengqi Wang and Guang Yang and Lingzhong Meng and You Song and Yuan Shi and Yunzhi Xue",
note = "Publisher Copyright: {\textcopyright} 2021 IEEE.; 8th International Conference on Dependable Systems and Their Applications, DSA 2021 ; Conference date: 11-09-2021 Through 12-09-2021",
year = "2021",
doi = "10.1109/DSA52907.2021.00060",
language = "英语",
series = "Proceedings - 2021 8th International Conference on Dependable Systems and Their Applications, DSA 2021",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "399--407",
booktitle = "Proceedings - 2021 8th International Conference on Dependable Systems and Their Applications, DSA 2021",
address = "美国",
}