Jämför metoder
Granska de valda metoderna sida vid sida; rader som skiljer sig är markerade.
| Dödräkning× | INS-felmodellen× | |
|---|---|---|
| Ämnesområde | Flyg- och rymdteknik | Flyg- och rymdteknik |
| Familj | Process / pipeline | Process / pipeline |
| Ursprungsår≠ | 1940s | 1960s |
| Upphovsperson≠ | Maritime navigation tradition | Schuler and others |
| Typ≠ | Navigation method | Stochastic model |
| Ursprungskälla≠ | Savage, P. G. (2007). Strapdown Inertial Integration Technology (2nd ed.). Strapdown Associates. link ↗ | Titterton, D. H., & Weston, J. L. (2004). Strapdown Inertial Navigation Technology (2nd ed.). Institution of Engineering and Technology. DOI ↗ |
| Alias | ded reckoning, inertial navigation, odometry | INS error analysis, error state kalman filter, ESKF |
| Närliggande | 3 | 3 |
| Sammanfattning≠ | Dead Reckoning is a fundamental navigation method that estimates position and heading by integrating velocity and angular rate measurements from inertial sensors over time, without external references such as GPS. The term derives from maritime tradition ('deduced reckoning') and remains a cornerstone of aerospace and autonomous vehicle navigation. Dead reckoning works reliably in GPS-denied environments and is the baseline navigation method when external navigation aids are unavailable. | 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. |
| ScholarGateDatamängd ↗ |
|
|