Self-supervised Lidar place recognition in overhead imagery using unpaired data
As much as place recognition is crucial for navigation, mapping and collecting training ground truth, namely sensor data pairs across different locations, are costly and time-consuming. This paper tackles these by learning lidar place recognition on public overhead imagery and in a self-supervised f...
| Main Authors: | , , |
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| Format: | Conference item |
| Language: | English |
| Published: |
Robotics: Science and Systems Foundation
2023
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