Dynamic Occupancy Grid Map with Semantic Information Using Deep Learning-Based BEVFusion Method with Camera and LiDAR Fusion
In the field of robotics and autonomous driving, dynamic occupancy grid maps (DOGMs) are typically used to represent the position and velocity information of objects. Although three-dimensional light detection and ranging (LiDAR) sensor-based DOGMs have been actively researched, they have limitation...
Sábháilte in:
| Príomhchruthaitheoirí: | , , , , |
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| Formáid: | Artigo |
| Teanga: | Inglês |
| Foilsithe / Cruthaithe: |
MDPI AG
2024-04-01
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| Sraith: | Sensors |
| Ábhair: | |
| Rochtain ar líne: | https://www.mdpi.com/1424-8220/24/9/2828 |
| Clibeanna: |
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