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...It includes a framework for 3D volumetric grids (for mapping), a localization algorithm based on scan matching, and two SLAM solutions (an Online SLAM and a Particle Filter SLAM). The main feature is efficiency. Low computational effort and low memoryusage whenever possible. The minimum viable computer to run our localization and SLAM solutions is a Raspberry Pi 3 Model B+. We provide a fast scan-matching approach to mobile robot localization supported by a continuous likelihood field. It can be used to provide accurate localization for robots equipped with a laser and a not-so-good odometry. ...
...Viewpix runs efficiently on computers with modest CPU's such as low power mini-ITX boards. It is known to work nicely on Intel NUC, AMD A6 SOC , and NVIDIA TX2.
A multiple core cpu, 8 GB ram, and a large capacity hard drive are suggested.
Download GPS track from the GPS logger "Solmeta Geotagger Pro" under Linux; Auslesen des Geotaggers * Geotag images with image direction, pitch, roll; Geotagging mit Blickrichtung * Altitudes/Höhen from geonames.org * NMEA analysis: DOP, satellite
Volumetric is a 3-D image processing tool. It reads point cloud data, expands it to a volumetric space with highly effective memoryusage, and filter out necessary points.
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