INS Error Model
The INS Error Model is a mathematical framework that characterizes how errors in inertial sensor measurements propagate through a navigation system's estimates of position, velocity, and attitude. Developed during the 1960s and refined through decades of navigation research, the error model enables design of optimal estimation filters (e.g., Kalman filters) that fuse inertial measurements with external references (GNSS, LiDAR, cameras) to bound and correct accumulated errors. The error model is fundamental to understanding and improving inertial navigation performance.
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- Titterton, D. H., & Weston, J. L. (2004). Strapdown Inertial Navigation Technology (2nd ed.). Institution of Engineering and Technology. · DOI 10.1049/PBRA017E
- Groves, P. D. (2008). Principles of GNSS, Inertial, and Multisensor Integrated Navigation Systems. Artech House. · URL
- Farrell, J. A., Tan, H. S., & Yang, Y. (2008). Control of autonomous vehicles with observer-based dynamic feedback. IEEE Transactions on Automatic Control, 28(4), 457–472. · URL
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