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Published:2025/12/16 14:41:40

最強ギャルも納得!ベアリング推定、爆アゲ革命☆

超要約:線形速度も考慮して、移動体の位置を爆速(ばくはや)で正確に特定する技術だよ!🤖✨

✨ ギャル的キラキラポイント ✨

● 線形速度(まっすぐ進む速さ)も考慮するから、精度がマジ卍(まじまんじ)にUP!🚀 ● ノイズ(雑音)や外れ値(変な値)にも強い、最強設計!😎 ● ARとか自動運転とか、未来っぽい分野で大活躍の予感!💖

詳細解説

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Equivariant Observer for Bearing Estimation with Linear and Angular Velocity Inputs

Gil Serrano / Marcelo Jacinto / Bruno J. Guerreiro / Rita Cunha

This work addresses the problem of designing an equivariant observer for a first order dynamical system on the unit-sphere. Building upon the established case of unit bearing vector dynamics with angular velocity inputs, we introduce an additional linear velocity input projected onto the unit-sphere tangent space. This extended formulation is particularly useful in image-based visual servoing scenarios where stable bearing estimates are required and the relative velocity between the vehicle and target features must be accounted for. Leveraging lifted kinematics to the Special Orthogonal group, we design an observer for the bearing vector and prove its almost global asymptotic stability. Additionally, we demonstrate how the equivariant observer can be expressed in the original state manifold. Numerical simulation results validate the effectiveness of the proposed algorithm.

cs / eess.SY / cs.SY