Web7 de mai. de 2024 · Abstract. Visual-inertial navigation that is able to provide accurate 3D localization in GPS-denied environments has seen popularity in recent years due to the proliferation of cost-effective cameras and inertial measurement units (IMUs). While an extended Kalman filter (EKF) is often used for sensor fusion, factor graph-based … Web13 de jan. de 2024 · This paper proposes a graph-optimisation-based self-calibration method for the IMU/odometer using preintegration theory.
linear algebra - Understanding equation manipulation on manifolds ...
WebTherefore, this article refines the process on the manifold model and utilizes the equivalent rotation vector to accumulate IMU measurements. The main contribution of our work is … WebOn-Manifold Preintegration for Real-Time Visual-Inertial Odometry. Current approaches for visual-inertial odometry (VIO) are able to attain highly accurate state estimation via nonlinear optimization. However, real-time optimization quickly becomes infeasible as the trajectory grows over time, this problem is further emphasized by the fact that ... chi women\\u0027s health bellevue
Refined On-Manifold IMU Preintegration Theory for Factor Graph ...
Web8 de abr. de 2024 · Download Citation On-manifold Decentralized State Estimation using Pseudomeasurements and Preintegration This paper addresses the problem of … WebOur first contribution is a preintegration theory that properly addresses the manifold structure of the rotation group. We formally discuss the generative measurement model as well as the nature of the rotation noise and derive the expression for the maximum a posteriori state estimator. Web1 On-Manifold Preintegration Theory for Fast and Accurate Visual-Inertial Navigation Christian Forster, Luca Carlone, Frank Dellaert, Davide Scaramuzza Abstract—Current approach chi women\\u0027s health bellevue ne