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Indoor and Outdoor Backpack Mapping with Calibrated Pair of Velodyne LiDARs.
Velas, Martin; Spanel, Michal; Sleziak, Tomas; Habrovec, Jiri; Herout, Adam.
Affiliation
  • Velas M; Department of Computer Graphics and Multimedia, Faculty of Information Technology, Brno University of Technology, Bozetechova 1/2, 612 66 Brno, Czech Republic. ivelas@fit.vutbr.cz.
  • Spanel M; Department of Computer Graphics and Multimedia, Faculty of Information Technology, Brno University of Technology, Bozetechova 1/2, 612 66 Brno, Czech Republic. spanel@fit.vutbr.cz.
  • Sleziak T; Geodrom Company, Bohunicka 81, 619 00 Brno, Czech Republic. sleziak@geodrom.cz.
  • Habrovec J; Geodrom Company, Bohunicka 81, 619 00 Brno, Czech Republic. habrovec@geodrom.cz.
  • Herout A; Department of Computer Graphics and Multimedia, Faculty of Information Technology, Brno University of Technology, Bozetechova 1/2, 612 66 Brno, Czech Republic. herout@fit.vutbr.cz.
Sensors (Basel) ; 19(18)2019 Sep 12.
Article in En | MEDLINE | ID: mdl-31547399
ABSTRACT
This paper presents a human-carried mapping backpack based on a pair of Velodyne LiDAR scanners. Our system is a universal solution for both large scale outdoor and smaller indoor environments. It benefits from a combination of two LiDAR scanners, which makes the odometry estimation more precise. The scanners are mounted under different angles, thus a larger space around the backpack is scanned. By fusion with GNSS/INS sub-system, the mapping of featureless environments and the georeferencing of resulting point cloud is possible. By deploying SoA methods for registration and the loop closure optimization, it provides sufficient precision for many applications in BIM (Building Information Modeling), inventory check, construction planning, etc. In our indoor experiments, we evaluated our proposed backpack against ZEB-1 solution, using FARO terrestrial scanner as the reference, yielding similar results in terms of precision, while our system provides higher data density, laser intensity readings, and scalability for large environments.
Key words

Full text: 1 Collection: 01-internacional Database: MEDLINE Language: En Journal: Sensors (Basel) Year: 2019 Document type: Article Affiliation country:

Full text: 1 Collection: 01-internacional Database: MEDLINE Language: En Journal: Sensors (Basel) Year: 2019 Document type: Article Affiliation country: