Hardware-Based Time Synchronization for a Multi-Sensor System

Accurate time synchronization is crucial for multisensor fusion, which is widely used in mobile robotics, autonomous driving, and virtual reality. Despite many advancements, precise multi-sensor synchronization is still challenging due to the sensors' internal characteristics, data filtering, d...

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Bibliographic Details
Published in:Proceedings of the ... IEEE/RSJ International Conference on Intelligent Robots and Systems pp. 4600 - 4607
Main Authors: Wang, Yueqi, Liu, Tangyou, Feng, Licheng, Wang, Jinze, Yang, Yang, Bao, Jianjun, Li, Binghao, Wu, Liao
Format: Conference Proceeding
Language:English
Published: IEEE 14.10.2024
Subjects:
Accuracy
Clocks
Hardware
Prototypes
Reliability engineering
Robot sensing systems
Robustness
Simultaneous localization and mapping
Synchronization
Virtual reality
ISSN:2153-0866
Online Access:Get full text
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Summary:Accurate time synchronization is crucial for multisensor fusion, which is widely used in mobile robotics, autonomous driving, and virtual reality. Despite many advancements, precise multi-sensor synchronization is still challenging due to the sensors' internal characteristics, data filtering, disjointed clock reference, and transmission delay caused by operation system scheduling. This paper proposes a novel hardware-based synchronization solution to achieve synchronization in microsecond-level precision. By introducing a Sensor Adaptor board that provides a unified clock reference, the proposed hardware architecture enables high-precision synchronization across multiple sensors. Furthermore, we develop a method for Visual-Inertial time synchronization that actively controls the exposure duration using an ambient light sensor. By managing the IMU clock signal and exposure trigger, we align the camera's sampling moment with the authentic IMU sampling time and significantly reduce the time discrepancy in the Visual-Inertial system. Experiments are conducted to evaluate the efficiency of the proposed method and system, including comparisons with previous work. The results indicate that our method can achieve precise time synchronization and be successfully implemented in multi-sensor systems.
ISSN:2153-0866
DOI:10.1109/IROS58592.2024.10802693