Design and Implementation of ZYNQ-Based Data Synchronous Acquisition System

Time synchronization is a key technology in multi-source navigation systems, which is crucial in robot navigation, autonomous driving, SLAM and other fields. In generally, a multi-source navigation system contains multiple sensors such as IMU, GNSS, UWB, Camera, Lidar, Barometer, etc., in which the time reference of each sensor is not unified, the sampling frequency is not consistent, and the Camera exposure is not synchronized, etc., which will seriously affect the accuracy of the multi-source navigation algorithm. In this paper, a novel multi-source data acquisition system based on ZYNQ is proposed, which applies the GNSS system as a unified clock source, and the pulse per second signal to complete the synchronization of the counters in ZYNQ as the timestamps of the acquired sensors. The IMU signal is also used as the exposure trigger for the 2 RGB Cameras to achieve the synchronization between the IMU and the Camera. The experimental results demonstrate that the proposed system enables precise and synchronized sensor acquisition.

Authors

Institutions

Publication Details

Published
2025-05-23
DOI
https://doi.org/10.1109/ecie65947.2025.11087057
Primary Topic
Robotics and Sensor-Based Localization
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Design and Implementation of ZYNQ-Based Data Synchronous Acquisition System

Zhihong Zhuang, Hong Wang, Jie He, Shiwen Yang
Robotics and Sensor-Based Localization
article

Design and Implementation of ZYNQ-Based Data Synchronous Acquisition System

Zhihong Zhuang, Hong Wang, Jie He, Shiwen Yang
article en

Abstract

Time synchronization is a key technology in multi-source navigation systems, which is crucial in robot navigation, autonomous driving, SLAM and other fields. In generally, a multi-source navigation system contains multiple sensors such as IMU, GNSS, UWB, Camera, Lidar, Barometer, etc., in which the time reference of each sensor is not unified, the sampling frequency is not consistent, and the Camera exposure is not synchronized, etc., which will seriously affect the accuracy of the multi-source navigation algorithm. In this paper, a novel multi-source data acquisition system based on ZYNQ is proposed, which applies the GNSS system as a unified clock source, and the pulse per second signal to complete the synchronization of the counters in ZYNQ as the timestamps of the acquired sensors. The IMU signal is also used as the exposure trigger for the 2 RGB Cameras to achieve the synchronization between the IMU and the Camera. The experimental results demonstrate that the proposed system enables precise and synchronized sensor acquisition.

Minjiang University (CN), Nanjing University of Science and Technology (CN)
Industry, innovation and infrastructure
Openalex Percentile: Top 75%
Robotics and Sensor-Based Localization
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.