Learning Omni-Dimensional Spatio-Temporal Dependencies for Millimeter-Wave Radar Perception
Reliable environmental perception capabilities are a prerequisite for achieving autonomous driving. Cameras and LiDAR are sensitive to illumination and weather conditions, while millimeter-wave radar avoids these issues. Existing models rely heavily on image-based approaches, which may not be able t...
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| Main Authors: | Hang Yan, Yongji Li, Luping Wang, Shichao Chen |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
MDPI AG
2024-11-01
|
| Series: | Remote Sensing |
| Subjects: | |
| Online Access: | https://www.mdpi.com/2072-4292/16/22/4256 |
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