How much do Naïve and Hardware Time Synchronization Methods Affect Multi-Sensor Integrated Positioning?

There is a gap in the quantitative understanding of what effects the varying levels of time synchronization have on positioning accuracy of multi-sensor system. For navigation applications, quantitative knowledge of position errors associated with the synchronization levels is valuable so that error budgets can be reliably assessed. This information is also important for effective system design with multi-sensor setups for vehicle localization. In this research, the experimental comparison of naïve and hardware time synchronization methods, in their effects on positioning is performed. Based on experimental data, it was found that positioning accuracy improved by decimeter level in GNSS-inertial-camera integration, and by meter level in LiDARinertial integration when hardware time synchronization was employed.

Authors

Publication Details

Journal
Proceedings of the Satellite Division's International Technical Meeting (Online)/Proceedings of the Satellite Division's International Technical Meeting (CD-ROM)
Published
2024-10-09
DOI
https://doi.org/10.33012/2024.19809
Citations
1
Primary Topic
Target Tracking and Data Fusion in Sensor Networks
Type
article
Field-Weighted Citation Impact
0.35
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

How much do Naïve and Hardware Time Synchronization Methods Affect Multi-Sensor Integrated Positioning?

Zihan Zhou, Sirish Uprety, Zhitao Lyu, Aparna Vishwanath et al.
1 citations
Proceedings of the Satellite Division's International Technical Meeting (Online)/Proceedings of the Satellite Division's International Technical Meeting (CD-ROM)
Target Tracking and Data Fusion in Sensor Networks
0.35
article

How much do Naïve and Hardware Time Synchronization Methods Affect Multi-Sensor Integrated Positioning?

Zihan Zhou, Sirish Uprety, Zhitao Lyu, Aparna Vishwanath, B. Li, Raymond Lee, Hongzhou Yang, Rhea Joyce Zambra
article en
1 citations

Abstract

There is a gap in the quantitative understanding of what effects the varying levels of time synchronization have on positioning accuracy of multi-sensor system. For navigation applications, quantitative knowledge of position errors associated with the synchronization levels is valuable so that error budgets can be reliably assessed. This information is also important for effective system design with multi-sensor setups for vehicle localization. In this research, the experimental comparison of naïve and hardware time synchronization methods, in their effects on positioning is performed. Based on experimental data, it was found that positioning accuracy improved by decimeter level in GNSS-inertial-camera integration, and by meter level in LiDARinertial integration when hardware time synchronization was employed.

Proceedings of the Satellite Division's International Technical Meeting (Online)/Proceedings of the Satellite Division's International Technical Meeting (CD-ROM)
Openalex Percentile: Top 33%
Target Tracking and Data Fusion in Sensor Networks
0.35
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.