IEEE 1588-Based General and Precise Time Synchronization Method for Multiple Sensors

Lu, Limeng; Zhang, Chaofan; Liu, Yong; Zhang, Wen; Xia, Yingwei

doi:10.1109/robio49542.2019.8961658

Cited by 3 publications

(1 citation statement)

References 15 publications

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“…There are several ways of implementing PTP and its stack. The synchronization accuracy varies depending on the chosen implementation method and the placement of timestamps [5]. To achieve optimal accuracy, timestamping for incoming and outgoing messages is ideally performed as close as possible to the physical layer, often accomplished through a hardware-based implementation.…”

Section: Introductionmentioning

confidence: 99%

A Survey on IEEE 1588 Implementation for RISC-V Low-Power Embedded Devices

Arteaga,

Muguira,

Jiménez

et al. 2024

Electronics

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IEEE 1588, also known as the Precision Time Protocol (PTP), is a standard protocol for clock synchronization in distributed systems. While it is not architecture-specific, implementing IEEE 1588 on Reduced Instruction Set Computer-V (RISC-V) low-power embedded devices demands considering the system requirements and available resources. This paper explores various approaches and techniques to achieve accurate time synchronization in such instruments. The analysis covers software and hardware implementations, discussing each method’s challenges, benefits, and trade-offs. By examining the state-of-the-art in this field, this paper provides valuable insights and guidance for researchers and engineers working on time-critical applications in RISC-V-based embedded systems, aiding in selecting the most-suitable stack for their designs.

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Section: Introductionmentioning

confidence: 99%

A Survey on IEEE 1588 Implementation for RISC-V Low-Power Embedded Devices

Arteaga,

Muguira,

Jiménez

et al. 2024

Electronics

View full text Add to dashboard Cite

show abstract

Radar-Camera Fusion for Object Detection and Semantic Segmentation in Autonomous Driving: A Comprehensive Review

Yao,

Guan,

Huang

et al. 2024

IEEE Trans. Intell. Veh.

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VersaVIS—An Open Versatile Multi-Camera Visual-Inertial Sensor Suite

Tschopp

Riner

Bernreiter

et al. 2020

Sensors

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Robust and accurate pose estimation is crucial for many applications in mobile robotics. Extending visual Simultaneous Localization and Mapping (SLAM) with other modalities such as an inertial measurement unit (IMU) can boost robustness and accuracy. However, for a tight sensor fusion, accurate time synchronization of the sensors is often crucial. Changing exposure times, internal sensor filtering, multiple clock sources and unpredictable delays from operation system scheduling and data transfer can make sensor synchronization challenging. In this paper, we present VersaVIS, an Open Versatile Multi-Camera Visual-Inertial Sensor Suite aimed to be an efficient research platform for easy deployment, integration and extension for many mobile robotic applications. VersaVIS provides a complete, open-source hardware, firmware and software bundle to perform time synchronization of multiple cameras with an IMU featuring exposure compensation, host clock translation and independent and stereo camera triggering. The sensor suite supports a wide range of cameras and IMUs to match the requirements of the application. The synchronization accuracy of the framework is evaluated on multiple experiments achieving timing accuracy of less than 1 ms. Furthermore, the applicability and versatility of the sensor suite is demonstrated in multiple applications including visual-inertial SLAM, multi-camera applications, multimodal mapping, reconstruction and object based mapping.

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IEEE 1588-Based General and Precise Time Synchronization Method for Multiple Sensors

Cited by 3 publications

References 15 publications

A Survey on IEEE 1588 Implementation for RISC-V Low-Power Embedded Devices

A Survey on IEEE 1588 Implementation for RISC-V Low-Power Embedded Devices

Radar-Camera Fusion for Object Detection and Semantic Segmentation in Autonomous Driving: A Comprehensive Review

VersaVIS—An Open Versatile Multi-Camera Visual-Inertial Sensor Suite

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