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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 [2019/09/16 17:42]
Patrick Wenzel
research:vslam:gn-net [2020/05/28 19:19] (current)
Lukas von Stumberg
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 **Contact:​** [[members:​stumberg|Lukas von Stumberg]], [[members:​wenzel]],​ [[members: khamuham]], [[members:​cremers|Prof. Daniel Cremers]] **Contact:​** [[members:​stumberg|Lukas von Stumberg]], [[members:​wenzel]],​ [[members: khamuham]], [[members:​cremers|Prof. Daniel Cremers]]
  
 +===== ICRA Presentation Video ===== 
 <​html>​ <​html>​
-<iframe width="​560"​ height="​315"​ src="​https://​www.youtube.com/​embed/​gcbKeKX2eiE" frameborder="​0"​ allow="​accelerometer;​ autoplay; encrypted-media;​ gyroscope; picture-in-picture"​ allowfullscreen></​iframe>​+<iframe width="​560"​ height="​315"​ src="​https://​www.youtube.com/​embed/​q_uVb_o255o" frameborder="​0"​ allow="​accelerometer;​ autoplay; encrypted-media;​ gyroscope; picture-in-picture"​ allowfullscreen></​iframe>​
 </​html>​ </​html>​
  
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 The **supplementary** can be downloaded at: {{ :​research:​vslam:​gn-net:​gn-net-supplementary.pdf |}} \\ The **supplementary** can be downloaded at: {{ :​research:​vslam:​gn-net:​gn-net-supplementary.pdf |}} \\
 The **relocalization tracking benchmark dataset** can be downloaded at:  The **relocalization tracking benchmark dataset** can be downloaded at: 
-[[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_v1.3.zip|gnnet_benchmark_v1.3.zip]] ​\\ 
 +**Code** related to our benchmark can be found at: https://​github.com/​Artisense-ai/​GN-Net-Benchmark 
 + 
 +<​html>​ 
 +<iframe width="​560"​ height="​315"​ src="​https://​www.youtube.com/​embed/​gcbKeKX2eiE"​ frameborder="​0"​ allow="​accelerometer;​ autoplay; encrypted-media;​ gyroscope; picture-in-picture"​ allowfullscreen></​iframe>​ 
 +</​html>​
  
 <​bibtex>​ <​bibtex>​
 <​keywords>​gn-net</​keywords>​ <​keywords>​gn-net</​keywords>​
 </​bibtex>​ </​bibtex>​

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