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Home Research Areas Visual SLAM GN-Net: The Gauss-Newton Loss for Multi-Weather Relocalization

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research:vslam:gn-net [2019/11/27 13:34]
Lukas von Stumberg
research:vslam:gn-net [2019/11/27 13:54] (current)
Lukas von Stumberg
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 [[https://​vision.in.tum.de/​webshare/​g/​gn-net-benchmark/​gnnet_benchmark_v1.0.zip|gnnet_benchmark_v1.0.zip]] [[https://​vision.in.tum.de/​webshare/​g/​gn-net-benchmark/​gnnet_benchmark_v1.0.zip|gnnet_benchmark_v1.0.zip]]
  
-====== ​New Results Oxford Robotcar ======+====== 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. 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.
 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). 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).

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