arXiv Open Access 2020

Leveraging Temporal Information for 3D Detection and Domain Adaptation

Cunjun Yu Zhongang Cai Daxuan Ren Haiyu Zhao

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Abstrak

Ever since the prevalent use of the LiDARs in autonomous driving, tremendous improvements have been made to the learning on the point clouds. However, recent progress largely focuses on detecting objects in a single 360-degree sweep, without extensively exploring the temporal information. In this report, we describe a simple way to pass such information in the learning pipeline by adding timestamps to the point clouds, which shows consistent improvements across all three classes.

Topik & Kata Kunci

cs.CV

Penulis (4)

Cunjun Yu

Zhongang Cai

Daxuan Ren

Haiyu Zhao

Format Sitasi

APA MLA BibTeX

Yu, C., Cai, Z., Ren, D., Zhao, H. (2020). Leveraging Temporal Information for 3D Detection and Domain Adaptation. https://arxiv.org/abs/2006.16796

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Informasi Jurnal

Tahun Terbit: 2020
Bahasa: en
Sumber Database: arXiv
Akses: Open Access ✓