ArticleSensors (Basel, Switzerland)2019
Comparison of Kalman Filters for Inertial Integrated Navigation.
Article in Sensors (Basel, Switzerland), 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
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Who cites it
7 citing papers in PubMed.
- A Study of a GNSS/IMU System for Object Localization and Spatial Position Estimation.Sensors (Basel, Switzerland) · 2025Article
- Migratory Bird-Inspired Adaptive Kalman Filtering for Robust Navigation of Autonomous Agricultural Planters in Unstructured Terrains.Biomimetics (Basel, Switzerland) · 2025Article
- Design of Nonlinear Autoregressive Exogenous Model Based Intelligence Computing for Efficient State Estimation of Underwater Passive Target.Entropy (Basel, Switzerland) · 2021Article
- Multi-Sensor Fusion for Underwater Vehicle Localization by Augmentation of RBF Neural Network and Error-State Kalman Filter.Sensors (Basel, Switzerland) · 2021Article
- An Aided Navigation Method Based on Strapdown Gravity Gradiometer.Sensors (Basel, Switzerland) · 2021Article
- Sensor Fusion Algorithm Using a Model-Based Kalman Filter for the Position and Attitude Estimation of Precision Aerial Delivery Systems.Sensors (Basel, Switzerland) · 2020Article
- Fast AHRS Filter for Accelerometer, Magnetometer, and Gyroscope Combination with Separated Sensor Corrections.Sensors (Basel, Switzerland) · 2020Article
Corrections and comments
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Authors and funding
4 authors.
Funding
Abstract
The current research on integrated navigation is mainly focused on filtering or integrated navigation equipment. Studies systematically comparing and analyzing how to choose appropriate integrated filtering methods under different circumstances are lacking. This paper focuses on integrated navigation filters that are used by different filters and attitude parameters for inertial integrated navigation. We researched integrated navigation filters, established algorithms, and examined the relative merits for practical integrated navigation. Some suggestions for the use of filtering algorithms are provided.We completed simulations and car-mounted experiments for low-cost strapdown inertial navigation system(SINS) to assess the performance of the integrated navigation filtering algorithms.
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Registered trials
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