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research:vslam:gn-net [2019/11/27 13:54] Lukas von Stumberg |
research:vslam:gn-net [2021/02/23 16:10] (current) Lukas von Stumberg |
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**Contact: | **Contact: | ||
+ | ===== ICRA Presentation Video ===== | ||
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- | <iframe width=" | + | <iframe width=" |
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The **supplementary** can be downloaded at: {{ : | The **supplementary** can be downloaded at: {{ : | ||
The **relocalization tracking benchmark dataset** can be downloaded at: | The **relocalization tracking benchmark dataset** can be downloaded at: | ||
- | [[https:// | + | [[https:// |
+ | **Code** related to our benchmark can be found at: https:// | ||
- | ====== Results Oxford Robotcar ====== | + | < |
- | The following new results include comparisons to D2-Net and SuperPoint. These keypoint-based methods were designed to be used in combination with the PnP algorithm in a RANSAC scheme. | + | <iframe width=" |
- | We also show results for a GN-Net model which was only trained on the synthetic CARLA benchmark, but tested on the Oxford sequences (dashed green). | + | </ |
- | ===== Results Sunny-Overcast ===== | + | |
- | {{: | + | |
- | ===== Results Sunny-Rainy ===== | + | |
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- | ===== Results Sunny-Snowy ===== | + | |
- | {{: | + | |
- | ===== Results Overcast-Rainy ===== | + | |
- | {{: | + | |
- | ===== Results Overcast-Snowy ===== | + | |
- | {{: | + | |
- | ===== Results Rainy-Snowy ===== | + | |
- | {{: | + | |
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</ | </ |