Category Archives: Navvis

NAVVIS Indoor Mapping Trolley

In case you asked yourself how we map the extensive indoor environments, which can be browsed with the NAVVIS IndoorViewer, have a look at this short video showing our mapping trolley in action. Besides the laser scanners and wheel odometry, … Continue reading

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Virtual Reference View Generation for CBIR-based Visual Pose Estimation

At ACM Multimedia 2012, we present a method that enables meter-accurate indoor positioning using visual information recorded by a smartphone’s camera. The position and orientation of the device is estimated by comparing the camera images to a database of previously … Continue reading

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Scale-Preserving Long-Term Visual Odometry for Indoor Navigation

At IPIN 2012, we present a visual odometry system for indoor navigation with a focus on long-term robustness and consistency. As our work is targeting mobile phones, we employ monocular SLAM to jointly estimate a local map and the device‚Äôs … Continue reading

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NAVVIS in the press

Thanks to the recent press release by TU Munich, NAVVIS got quite some attention from the press during the last few days. We would like to thank TUM and all authors for recognizing and reporting about our indoor navigation system! … Continue reading

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Query images for visual localization

We just uploaded our VidSnaps and VidSnaps-Offtrack query images to the dataset page. We use these images to evaluate the quality of algorithms for visual localization. The 768 images in the VidSnaps dataset were recorded close to the mapping trajectory, … Continue reading

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Version 1.0 of the Indoor Viewer

The NAVVIS Indoor Viewer has just been updated. The point cloud data as well as high resolution imagery recorded by the two DSLRs are now visualized. Please have a look at the Indoor Viewer menu to display the point cloud … Continue reading

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Launching the public beta of the NAVVIS Indoor Viewer

The NAVVIS Indoor Viewer is now public, head over to the “Indoor Viewer” tab to try it out. The Indoor Viewer is a browser based research tool to explore the available TUMindoor datasets and to evaluate feature extraction as well … Continue reading

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