ScholarGate
Asistents

Salīdzināt metodes

Apskatiet izvēlētās metodes blakus; rindas, kas atšķiras, ir izceltas.

Autonomā navigācija×INS kļūdu modelis×
NozareAviācija un kosmonautikaAviācija un kosmonautika
SaimeProcess / pipelineProcess / pipeline
Izcelsmes gads1940s1960s
AutorsMaritime navigation traditionSchuler and others
TipsNavigation methodStochastic model
PirmavotsSavage, 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 ↗
Citi nosaukumided reckoning, inertial navigation, odometryINS error analysis, error state kalman filter, ESKF
Saistītās33
KopsavilkumsDead 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.
ScholarGateDatu kopa
  1. v1
  2. 3 Avoti
  3. PUBLISHED
  1. v1
  2. 3 Avoti
  3. PUBLISHED

Doties uz meklēšanu Lejupielādēt slaidus

ScholarGateSalīdzināt metodes: Dead Reckoning · INS Error Model. Izgūts 2026-06-17 no https://scholargate.app/lv/compare