JOURNAL ARTICLE

HYBRID ONLINE MOBILE LASER SCANNER CALIBRATION THROUGH IMAGE ALIGNMENT BY MUTUAL INFORMATION

Mourad MiledBahman SoheilianEmmanuel HabetsBruno Vallet

Year: 2016 Journal:   ISPRS annals of the photogrammetry, remote sensing and spatial information sciences Vol: III-1 Pages: 25-31   Publisher: Copernicus Publications

Abstract

This paper proposes an hybrid online calibration method for a laser scanner mounted on a mobile platform also equipped with an imaging system. The method relies on finding the calibration parameters that best align the acquired points cloud to the images. The quality of this intermodal alignment is measured by Mutual information between image luminance and points reflectance. The main advantage and motivation is ensuring pixel accurate alignment of images and point clouds acquired simultaneously, but it is also much more flexible than traditional laser calibration methods.

Keywords:
Luminance Computer vision Computer science Calibration Artificial intelligence Point cloud Scanner Laser scanning Point (geometry) Image quality Pixel Mutual information Image (mathematics) Laser Optics Mathematics

Metrics

6
Cited By
0.72
FWCI (Field Weighted Citation Impact)
18
Refs
0.85
Citation Normalized Percentile
Is in top 1%
Is in top 10%

Citation History

Topics

3D Surveying and Cultural Heritage
Physical Sciences →  Earth and Planetary Sciences →  Geology
Optical measurement and interference techniques
Physical Sciences →  Computer Science →  Computer Vision and Pattern Recognition
Remote Sensing and LiDAR Applications
Physical Sciences →  Environmental Science →  Environmental Engineering

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