arXiv (All)
open access
Design and Implementation of a Kalman Filter-Infused Algorithm for Tilt Estimation
Accurate tilt angle estimation is important in many engineering applications, such as robotics, motion tracking, and embedded control systems. However, measurements from low-cost inertial sensors are often degraded by noise and drift. This paper presents a single-axis tilt angle estimation system ba
Conceptio Open Archive
Analyze & explore related research in Conceptio
Connect this record directly into your research workflow or AI agent. Explore citations across open repositories, query full text, and export structured proof bundles.
This document is indexed with metadata only: full text is not available in the archive for this record. Open the official source ↗
Related documents
- The Violin Its Famous Makers and Their Imitators#41238
- Convergence analysis of a Tikhonov regularized inertial dynamical system and algorithm for convex optimization problems#179185
- Postural Assessment of Stroke Patients by Pose Estimation and Effects of Dynamic Core Postural Chain Stabilization#850835
- Interval KKL observer for a class of non-autonomous uncertain discrete time-varying nonlinear systems#422637
- Water Level Control System Using PLC and Wireless Sensors#210364
Record · ID 998370
Retrieved via Conceptio: every document is proof-bundled with source, license, and retrieval metadata.
Retrieved via Conceptio: every document is proof-bundled with source, license, and retrieval metadata.
Bring this data into your agent: Connect via MCP or API · 20 free credits to start · no card required
Read the Docs → · View CLI source on GitHub · Conceptio Open Knowledge Archive
Read the Docs → · View CLI source on GitHub · Conceptio Open Knowledge Archive