自由初始化:多普勒激光雷达-惯性系统的无扫描、无运动和无对应初始化

IF 4.6 2区 计算机科学 Q2 ROBOTICS IEEE Robotics and Automation Letters Pub Date : 2024-11-01 DOI:10.1109/LRA.2024.3490395
Mingle Zhao;Jiahao Wang;Tianxiao Gao;Chengzhong Xu;Hui Kong
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引用次数: 0

摘要

稳健的初始化对在线系统至关重要。信中利用惯性传感器和多普勒激光雷达,为激光雷达-惯性系统设计了一个高频和弹性初始化框架。创新的 FMCW 多普勒激光雷达不仅能捕捉点测距,还能通过固有的多普勒效应捕捉多普勒速度,为机器人传感开辟了一条新途径。通过在非惯性运动学条件下将点式多普勒速度与惯性测量相结合,所提出的 Free-Init 框架在初始化阶段消除了对激光雷达扫描运动失真、激励运动和地图对应关系的依赖。Free-Init 还可与典型的激光雷达-惯性系统即插即用,并具有多功能性,可在系统启动时处理各种初始运动,包括静态、动态甚至剧烈运动。嵌入式多普勒惯性测速仪可确保快速收敛和高频性能,输出频率超过 10 kHz。在不同平台和无数运动场景中进行的综合实验验证了该框架的有效性。实验结果证明了 Free-Init 的卓越性能,突出了在线系统进行快速、弹性和动态初始化的必要性。
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Free-Init: Scan-Free, Motion-Free, and Correspondence-Free Initialization for Doppler LiDAR-Inertial Systems
Robust initialization is crucial for online systems. In the letter, a high-frequency and resilient initialization framework is designed for LiDAR-inertial systems, leveraging both inertial sensors and Doppler LiDAR. The innovative FMCW Doppler LiDAR opens up a novel avenue for robotic sensing by capturing not only point range but also Doppler velocity via the intrinsic Doppler effect. By fusing point-wise Doppler velocity with inertial measurements under non-inertial kinematics, the proposed framework, Free-Init, eliminates reliance on motion undistortion of LiDAR scans, excitation motions, and map correspondences during the initialization phase. Free-Init is also plug-and-play compatible with typical LiDAR-inertial systems and is versatile to handle a wide range of initial motions when the system starts, including stationary, dynamic, and even violent motions. The embedded Doppler-inertial velocimeter ensures fast convergence and high-frequency performance, delivering outputs exceeding 10 kHz. Comprehensive experiments on diverse platforms and across myriad motion scenes validate the framework's effectiveness. The results demonstrate the superior performance of Free-Init, highlighting the necessity of fast, resilient, and dynamic initialization for online systems.
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来源期刊
IEEE Robotics and Automation Letters
IEEE Robotics and Automation Letters Computer Science-Computer Science Applications
CiteScore
9.60
自引率
15.40%
发文量
1428
期刊介绍: The scope of this journal is to publish peer-reviewed articles that provide a timely and concise account of innovative research ideas and application results, reporting significant theoretical findings and application case studies in areas of robotics and automation.
期刊最新文献
A Benchmark Dataset for Collaborative SLAM in Service Environments Flexible Affine Formation Control Based on Dynamic Hierarchical Reorganization A Fast and Accurate Visual Inertial Odometry Using Hybrid Point-Line Features Free-Init: Scan-Free, Motion-Free, and Correspondence-Free Initialization for Doppler LiDAR-Inertial Systems Learning Based Estimation of Tool-Tissue Interaction Forces for Stationary and Moving Environments
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