Texture-Based Satellite Visibility Detection for Efficient 3D-Model-Aided GNSS

Tankut ACARMAN; Can GÖÇMENOĞLU

doi:10.1587/transfun.E100.A.432

Texture-Based Satellite Visibility Detection for Efficient 3D-Model-Aided GNSS

Tankut ACARMAN, Can GÖÇMENOĞLU

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Limited satellite visibility, multipath and non-line-of-sight signals reduce the performance of the stand-alone Global Navigation Satellite System (GNSS) receiver in urban environments. Embedding 3D model of urban structures in the condition of restricted visibility of the GNSS satellites due to urban canyons may improve position measurement accuracy significantly. State-of-the-art methods use raytracing or rasterization techniques applied on a 3D map to detect satellite visibility. But these techniques are computationally expensive and limit their widespread benefits for mobile and automotive applications. In this paper, a texture-based satellite visibility detection (TBSVD) methodology suitable for mobile and automotive grade Graphical Processing Units is presented. This methodology applies ray marching algorithm on a 2D height map texture of urban structures, and it is proposed as a more efficient alternative to 3D raytracing or rasterization methodology. Real road test in the business district of the metropolitan city is conducted in order to evaluate its performance. TBSVD is implemented in conventional ranging-based GNSS solution and the results illustrate the effectiveness of the proposed approach.

Publication: IEICE TRANSACTIONS on Fundamentals Vol.E100-A No.2 pp.432-439

Publication Date: 2017/02/01

Publicized

Online ISSN: 1745-1337

DOI: 10.1587/transfun.E100.A.432

Type of Manuscript: Special Section INVITED PAPER (Special Section on Intelligent Transport Systems)

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Authors

Tankut ACARMAN
Galatasaray University
Can GÖÇMENOĞLU
Galatasaray University

Keyword

GNSS position information, height map, raytracing, satellite visibility

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Tankut ACARMAN, Can GÖÇMENOĞLU, "Texture-Based Satellite Visibility Detection for Efficient 3D-Model-Aided GNSS" in IEICE TRANSACTIONS on Fundamentals, vol. E100-A, no. 2, pp. 432-439, February 2017, doi: 10.1587/transfun.E100.A.432.
Abstract: Limited satellite visibility, multipath and non-line-of-sight signals reduce the performance of the stand-alone Global Navigation Satellite System (GNSS) receiver in urban environments. Embedding 3D model of urban structures in the condition of restricted visibility of the GNSS satellites due to urban canyons may improve position measurement accuracy significantly. State-of-the-art methods use raytracing or rasterization techniques applied on a 3D map to detect satellite visibility. But these techniques are computationally expensive and limit their widespread benefits for mobile and automotive applications. In this paper, a texture-based satellite visibility detection (TBSVD) methodology suitable for mobile and automotive grade Graphical Processing Units is presented. This methodology applies ray marching algorithm on a 2D height map texture of urban structures, and it is proposed as a more efficient alternative to 3D raytracing or rasterization methodology. Real road test in the business district of the metropolitan city is conducted in order to evaluate its performance. TBSVD is implemented in conventional ranging-based GNSS solution and the results illustrate the effectiveness of the proposed approach.
URL: https://global.ieice.org/en_transactions/fundamentals/10.1587/transfun.E100.A.432/_p

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@ARTICLE{e100-a_2_432,
author={Tankut ACARMAN, Can GÖÇMENOĞLU, },
journal={IEICE TRANSACTIONS on Fundamentals},
title={Texture-Based Satellite Visibility Detection for Efficient 3D-Model-Aided GNSS},
year={2017},
volume={E100-A},
number={2},
pages={432-439},
abstract={Limited satellite visibility, multipath and non-line-of-sight signals reduce the performance of the stand-alone Global Navigation Satellite System (GNSS) receiver in urban environments. Embedding 3D model of urban structures in the condition of restricted visibility of the GNSS satellites due to urban canyons may improve position measurement accuracy significantly. State-of-the-art methods use raytracing or rasterization techniques applied on a 3D map to detect satellite visibility. But these techniques are computationally expensive and limit their widespread benefits for mobile and automotive applications. In this paper, a texture-based satellite visibility detection (TBSVD) methodology suitable for mobile and automotive grade Graphical Processing Units is presented. This methodology applies ray marching algorithm on a 2D height map texture of urban structures, and it is proposed as a more efficient alternative to 3D raytracing or rasterization methodology. Real road test in the business district of the metropolitan city is conducted in order to evaluate its performance. TBSVD is implemented in conventional ranging-based GNSS solution and the results illustrate the effectiveness of the proposed approach.},
keywords={},
doi={10.1587/transfun.E100.A.432},
ISSN={1745-1337},
month={February},}

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TY - JOUR
TI - Texture-Based Satellite Visibility Detection for Efficient 3D-Model-Aided GNSS
T2 - IEICE TRANSACTIONS on Fundamentals
SP - 432
EP - 439
AU - Tankut ACARMAN
AU - Can GÖÇMENOĞLU
PY - 2017
DO - 10.1587/transfun.E100.A.432
JO - IEICE TRANSACTIONS on Fundamentals
SN - 1745-1337
VL - E100-A
IS - 2
JA - IEICE TRANSACTIONS on Fundamentals
Y1 - February 2017
AB - Limited satellite visibility, multipath and non-line-of-sight signals reduce the performance of the stand-alone Global Navigation Satellite System (GNSS) receiver in urban environments. Embedding 3D model of urban structures in the condition of restricted visibility of the GNSS satellites due to urban canyons may improve position measurement accuracy significantly. State-of-the-art methods use raytracing or rasterization techniques applied on a 3D map to detect satellite visibility. But these techniques are computationally expensive and limit their widespread benefits for mobile and automotive applications. In this paper, a texture-based satellite visibility detection (TBSVD) methodology suitable for mobile and automotive grade Graphical Processing Units is presented. This methodology applies ray marching algorithm on a 2D height map texture of urban structures, and it is proposed as a more efficient alternative to 3D raytracing or rasterization methodology. Real road test in the business district of the metropolitan city is conducted in order to evaluate its performance. TBSVD is implemented in conventional ranging-based GNSS solution and the results illustrate the effectiveness of the proposed approach.
ER -