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research:vslam [2020/10/08 14:55] Christiane Sommer |
research:vslam [2020/10/15 15:07] schubdav |
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| - | tag=slam | + | tag=vslam |
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| - | ====== SLAM ====== | + | ====== |
| - | Lorem ipsum dolor sit amet, consetetur sadipscing elitr, sed diam nonumy eirmod tempor invidunt ut labore et dolore magna aliquyam erat, sed diam voluptua. At vero eos et accusam et justo duo dolores et ea rebum. Stet clita kasd gubergren, no sea takimata sanctus est Lorem ipsum dolor sit amet. Lorem ipsum dolor sit amet, consetetur sadipscing elitr, sed diam nonumy eirmod tempor invidunt ut labore et dolore magna aliquyam erat, sed diam voluptua. At vero eos et accusam et justo duo dolores et ea rebum. Stet clita kasd gubergren, no sea takimata sanctus est Lorem ipsum dolor sit amet. Lorem ipsum dolor sit amet, consetetur sadipscing elitr, sed diam nonumy eirmod tempor invidunt ut labore et dolore magna aliquyam erat, sed diam voluptua. At vero eos et accusam et justo duo dolores et ea rebum. Stet clita kasd gubergren, no sea takimata sanctus est Lorem ipsum dolor sit amet. | + | In **S**imultaneous **L**ocalization **A**nd **M**apping, we track the pose of the sensor while creating a map of the environment. In particular, our group has a strong focus on direct methods, where, contrary to the classical pipeline of feature extraction and matching, we directly optimize intensity errors. |
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| + | Our experience includes various sensor modalities, such as monocular, stereo and RGB-D cameras, but also visual-inertial setups. Besides our research for new methods, we provide public datasets for evaluation. | ||
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| + | If you are interested in the wider area of SLAM, chances are that our interests overlap with yours. We would be happy to hear from you! | ||
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| + | <source src="/ | ||
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| ==== Contact ==== | ==== Contact ==== | ||
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