日本フィジカルAI新聞

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週刊ニュースレター購読
arXiv:2601.16078

Improve the autonomy of the SE2(3) group based Extended Kalman Filter for Integrated Navigation: Application

Improve the autonomy of the SE2(3) group based Extended Kalman Filter for Integrated Navigation: Application

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著者: Maosong Wang, Jiarui Cui, Wenqi Wu, Peiqi Li, Xianfei Pan

分類: cs.RO, cs.SY, eess.SY

原文アブストラクト

One of the core advantages of SE2(3) Lie group framework for navigation modeling lies in the autonomy of error propagation. In the previous paper, the theoretical analysis of autonomy property of navigation model in inertial, earth and world frames was given. A construction method for SE2(3) group navigation model is proposed to improve the non-inertial navigation model toward full autonomy. This paper serves as a counterpart to previous paper and conducts the real-world strapdown inertial navigation system (SINS)/odometer(ODO) experiments as well as Monte-Carlo simulations to demonstrate the performance of improved SE2(3) group based high-precision navigation models.