arXiv:2607.15889cs.CV2026-07中稿 · the IEEE Internati…

用硬件触发实现路侧多激光雷达与摄像头的精准时间对齐

Hardware-triggered Time Synchronization of Roadside Multi-lidar, Multi-camera Measurement System for Accurate Data Alignment

论文配图:Hardware-triggered Time Synchronization of Roadside Multi-lidar, Multi-camera Measurement System for Accurate Data Alignment
图 1 · 摘自论文原文
  • 以激光雷达脉冲为基准,生成可编程延迟的相机触发信号
  • 实验验证不同延迟下传感器数据重叠度,找到最优对齐配置
  • 开源低成本方案,适配路侧与车载多传感器系统

在密集城市交通场景中,路侧多激光雷达、多摄像头系统需要精确的时间对齐以实现可靠环境感知。本文提出一种开源、简单、模块化且可配置的硬件触发时间同步电路,实现激光雷达与多个摄像头之间的精准时间同步。该电路以激光雷达同步脉冲为参考输入,为每台相机独立生成可编程的时间延迟触发信号,灵活适应不同的传感器布局和安装几何。在包含1个激光雷达和3台相机的路侧感知系统上开展系列实验,系统性调整触发延迟,评估其对时空对齐的影响。针对不同道路使用者类别,量化激光雷达点云与相机图像的重叠度,识别出提升跨传感器一致性的最佳延迟配置。所提电路展现出鲁棒且可重复的同步性能,部署、重构与扩展均简便,得益于其简洁开放的设计。经三相机路侧系统验证后,该方案进一步扩展至搭载7台相机和1个激光雷达的车载平台,提供了一种低成本、可拓展的多传感器同步解决方案。所有硬件设计文件与源代码已公开于https://github.com/shiva-THI/hardware-trigger-time-sync-lidar-cameras。

原文摘要 · Abstract (English)

Accurate temporal alignment of heterogeneous sensors is necessary for reliable environment perception in roadside multi-lidar, multi-camera systems, particularly in dense urban traffic. For this purpose, an open-source, simple, modular, and configurable hardware-triggered time-synchronization circuit is presented in this work to perform temporal alignment or accurate time synchronization between a lidar and multiple cameras. In the designed circuit, a lidar synchronization pulse is used as a reference input, and independently programmable, time-delayed trigger pulses are generated for each camera, allowing flexible adaptation to varying sensor setups and mounting geometries. A series of experiments is conducted on a roadside-mounted perception system comprised of lidar and three cameras, in which the trigger delay is systematically varied, and its impact on spatial-temporal alignment is evaluated. For different classes of road users, the overlap between lidar point cloud measurements and camera measurements is quantified to identify delay configurations that maximize cross-sensor consistency. The proposed circuit is shown to achieve robust and repeatable synchronization while remaining straightforward to deploy, reconfigure, and extend due to its simple and open-source design. Following validation on a three-camera roadside system, the circuit is extended to a vehicle platform with seven cameras and a lidar, providing a low-cost, extensible solution for multi-sensor synchronization across infrastructure and vehicle setups. All hardware circuit design files and source codes are available at https://github.com/shiva-THI/hardware-trigger-time-sync-lidar-cameras.

时间同步多传感器融合激光雷达路侧感知

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