Probability-Based LIDAR–Camera Calibration Considering Target Positions and Parameter Evaluation Using a Data Fusion Map
The data fusion of a 3-D light detection and ranging (LIDAR) point cloud and a camera image during the creation of a 3-D map is important because it enables more efficient object classification by autonomous mobile robots and facilitates the construction of a fine 3-D model. The principle behind dat...
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| Hlavní autoři: | , |
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| Médium: | Artigo |
| Jazyk: | Inglês |
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MDPI AG
2024-06-01
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| Edice: | Sensors |
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| On-line přístup: | https://www.mdpi.com/1424-8220/24/12/3981 |
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