Presentation + Paper
12 June 2023 Trajectory estimation with GNSS, IMU, and LiDAR for terrestrial/kinematic laser scanning
Florian Pöppl, Martin Pfennigbauer, Andreas Ullrich, Norbert Pfeifer
Author Affiliations +
Abstract
Kinematic laser scanning allows for efficient acquisition of large-scale and highly accurate 3D data. Georeferencing of the LiDAR data requires integration with auxiliary navigation systems. The standard processing pipeline consists of GNSS/IMU integration, georeferencing, and subsequent adjustment of the laser data. In contrast, we propose a holistic approach for GNSS, IMU and LiDAR integration where all measurements are incorporated in a single model, thereby enabling accurate estimation of both trajectory and system calibration parameters. This method is applied to the case of a 3D laser scanner mounted on a moving platform. We demonstrate precise georeferencing of the kinematically acquired data by comparison to statically acquired reference data.
Conference Presentation
© (2023) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Florian Pöppl, Martin Pfennigbauer, Andreas Ullrich, and Norbert Pfeifer "Trajectory estimation with GNSS, IMU, and LiDAR for terrestrial/kinematic laser scanning", Proc. SPIE 12537, Laser Radar Technology and Applications XXVIII, 1253706 (12 June 2023); https://doi.org/10.1117/12.2663454
Advertisement
Advertisement
RIGHTS & PERMISSIONS
Get copyright permission  Get copyright permission on Copyright Marketplace
KEYWORDS
Laser scanners

Point clouds

LIDAR

Calibration

Georeferencing

Feature extraction

Sensor fusion

Back to Top