Stereo Visual Inertial Pose Estimation Based on Feedforward-Feedback Loops

Autor:	Chen, Shengyang, Wen, Chih-Yung, Zou, Yajing, Chen, Wu
Rok vydání:	2020
Předmět:	Computer Science - Robotics Computer Science - Computer Vision and Pattern Recognition
Druh dokumentu:	Working Paper
Popis:	In this paper, we present a novel stereo visual inertial pose estimation method. Compared to the widely used filter-based or optimization-based approaches, the pose estimation process is modeled as a control system. Designed feedback or feedforward loops are introduced to achieve the stable control of the system, which include a gradient decreased feedback loop, a roll-pitch feed forward loop and a bias estimation feedback loop. This system, named FLVIS (Feedforward-feedback Loop-based Visual Inertial System), is evaluated on the popular EuRoc MAV dataset. FLVIS achieves high accuracy and robustness with respect to other state-of-the-art visual SLAM approaches. The system has also been implemented and tested on a UAV platform. The source code of this research is public to the research community. Comment: 14 pages, 14 figures, 2 tables
Databáze:	arXiv
Externí odkaz:	http://arxiv.org/abs/2007.02250 Zobrazit plný text záznamu View this record from Arxiv