期刊
2022 IEEE 25TH INTERNATIONAL CONFERENCE ON INTELLIGENT TRANSPORTATION SYSTEMS (ITSC)
卷 -, 期 -, 页码 493-498出版社
IEEE
DOI: 10.1109/ITSC55140.2022.9922539
关键词
-
资金
- National Key R&D Program of China [2021YFB2501201]
This paper introduces a dataset named TJ4DRadSet, which contains 4D radar point clouds for autonomous driving research, and provides a 4D radar-based 3D object detection baseline for the dataset.
The next-generation high-resolution automotive radar (4D radar) can provide additional elevation measurement and denser point clouds, which has great potential for 3D sensing in autonomous driving. In this paper, we introduce a dataset named TJ4DRadSet with 4D radar points for autonomous driving research. The dataset was collected in various driving scenarios, with a total of 7757 synchronized frames in 44 consecutive sequences, which are well annotated with 3D bounding boxes and track ids. We provide a 4D radar-based 3D object detection baseline for our dataset to demonstrate the effectiveness of deep learning methods for 4D radar point clouds. The dataset can be accessed via the following link: https://github.com/TJRadarLab/TJ4DRadSet.
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