On Robust Observer Design for System Motion on SE(3) Using Onboard Visual Sensors

TL;DR

This paper introduces a robust observer design for systems on SE(3) using onboard visual sensors, addressing challenges like feature misidentification and varying visible sets to ensure reliable state estimation.

Contribution

A novel robust observer method that estimates visible features and manages uncertainties, improving accuracy in visual-based system motion estimation on SE(3).

Findings

Effective in handling feature misidentification

Ensures bounded estimation error over trajectories

Demonstrated success through simulations

Abstract

Onboard visual sensing has been widely used in the unmanned ground vehicle (UGV) and/or unmanned aerial vehicle (UAV), which can be modeled as dynamic systems on SE(3). The onboard sensing outputs of the dynamic system can usually be applied to derive the relative position between the feature marks and the system, but bearing with explicit geometrical constraint. Such a visual geometrical constraint makes the design of the visual observer on SE(3) very challenging, as it will cause a time-varying or switching visible set due to the varying number of feature marks in this set along different trajectories. Moreover, the possibility of having mis-identified feature marks and modeling uncertainties might result in a divergent estimation error. This paper proposes a new robust observer design method that can accommodate these uncertainties from onboard visual sensing. The key design idea for this observer is to estimate the visible set and identify the mis-identified features from the measurements. Based on the identified uncertainties, a switching strategy is proposed to ensure bounded estimation error for any given trajectory over a fixed time interval. Simulation results are provided to demonstrate the effectiveness of the proposed robust observer.