Spatiotemporal Multisensor Calibration via Gaussian Processes Moving Target Tracking (CROSBI ID 292934)
Prilog u časopisu | izvorni znanstveni rad | međunarodna recenzija
Podaci o odgovornosti
Peršić, Juraj ; Petrović, Luka ; Marković, Ivan ; Petrović, Ivan
engleski
Spatiotemporal Multisensor Calibration via Gaussian Processes Moving Target Tracking
Robust and reliable perception of autonomous systems often relies on fusion of heterogeneous sensors, which poses great challenges for multisensor calibration. In this article, we propose a method for multisensor calibration based on Gaussian processes (GPs) estimated moving target trajectories, resulting with spatiotemporal calibration. Unlike competing approaches, the proposed method is characterized by the following: first, joint multisensor on-manifold spatiotemporal optimization framework, second, batch state estimation and interpolation using GPs, and, third, computational efficiency with O(n) complexity. It only re-quires that all sensors can track the same target. The method is validated in simulation and real-world experiments on the following five different multisensor setups: first, hardware triggered stereo camera, second, camera and motion capture system, third, camera and automotive radar, fourth, camera and rotating 3-D lidar, and, fifth, camera, 3-D lidar, and the motion capture system. The method estimates time delays with the accuracy up to a fraction of the fastest sensor sampling time, outperforming a state-of-the-art ego-motion method. Furthermore, this article is complemented by an open-source toolbox implementing the calibration method available at bitbucket.org/unizg-fer-lamor/calirad.
Gaussian processes ; multisensor calibration ; temporal calibration
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Podaci o izdanju
37 (5)
2021.
1401-1415
objavljeno
1552-3098
1941-0468
10.1109/TRO.2021.3061364
Povezanost rada
Elektrotehnika, Računarstvo, Temeljne tehničke znanosti