analiza aiqbench
This research introduces Free-Init, a novel framework for LiDAR-inertial systems that leverages Doppler velocity data to achieve robust initialization without relying on motion undistortion or external map correspondences. By fusing inertial measurements with intrinsic Doppler effects, the method enables high-frequency operation (exceeding 10 kHz) and handles diverse initial motions, from stationary to violent dynamics. This advancement addresses critical bottlenecks in online robotic sensing, offering a plug-and-play solution that enhances system resilience and convergence speed.
Free-Init: Scan-Free, Motion-Free, and Correspondence-Free Initialization for Doppler LiDAR-Inertial Systems
arXiv:2609.29375v1 Announce Type: new Abstract: 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.
Abstract: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.
Robotics (cs.RO); Computer Vision and Pattern Recognition (cs.CV); Systems and Control (eess.SY)
arXiv:2609.29375 [cs.RO]
(or arXiv:2609.29375v1 [cs.RO] for this version)
https://doi.org/10.48550/arXiv.2609.29375 arXiv-issued DOI via DataCite (pending registration)
M. Zhao et al., "Free-Init: Scan-Free, Motion-Free, and Correspondence-Free Initialization for Doppler LiDAR-Inertial Systems," in IEEE Robotics and Automation Letters, vol. 9, no. 12, pp. 11329-11336, Dec. 2024
https://doi.org/10.1109/LRA.2024.3490395 DOI(s) linking to related resources
Text integral sub licența deschisă a publicației · 229 cuvinte
Subiecte conexe

Hands-free first notice of loss: Using Strands Agents and Amazon Bedrock AgentCore Browser Tool for intelligent claims intake
AWS · 9 iun. 2026
Degeneracy-Resilient Teach and Repeat for Geometrically Challenging Environments Using FMCW Lidar
arXiv · 3 sept. 2026

Netskope (NTSK) Q2 2027 Earnings Call Transcript
fool.com · 10 sept. 2026
Dual-domain U-Nets with embedded back projection operators for motion-resolved 4D CBCT reconstruction
arXiv · 5 aug. 2026