Terrain-Based Parameter Optimization for Zero Velocity Update Inertial Navigation Solutions

This paper demonstrates the benefits of adapting Zero Velocity Update (ZVU) algorithms in foot-mounted pedestrian inertial navigation by finely tuning the algorithm to account for the type of terrain over which the pedestrian travels. Conventional ZVU algorithms for foot-mounted inertial navigation are designed for indoor use and do not account for differences from various terrains. Different terrains affect the natural pedestrian gait and how zero velocity intervals (ZVIs) are identified. By tuning the algorithm to account for accelerometer and gyroscope magnitude and walking cycle duration across four terrains (concrete, grass, pebbles and sand), the accuracy is improved up to 31.04%, dependent on the terrain, and is viable for outdoor use.

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Publication Details

Journal
MDPI (MDPI AG)
Published
2025-07-18
DOI
https://doi.org/10.3390/engproc2025088067
Primary Topic
Inertial Sensor and Navigation
Type
article
Field-Weighted Citation Impact
0.00
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article

Terrain-Based Parameter Optimization for Zero Velocity Update Inertial Navigation Solutions

Paul D. Groves, Taylor Knuth
MDPI (MDPI AG)
Inertial Sensor and Navigation
article

Terrain-Based Parameter Optimization for Zero Velocity Update Inertial Navigation Solutions

Paul D. Groves, Taylor Knuth
article en

Abstract

This paper demonstrates the benefits of adapting Zero Velocity Update (ZVU) algorithms in foot-mounted pedestrian inertial navigation by finely tuning the algorithm to account for the type of terrain over which the pedestrian travels. Conventional ZVU algorithms for foot-mounted inertial navigation are designed for indoor use and do not account for differences from various terrains. Different terrains affect the natural pedestrian gait and how zero velocity intervals (ZVIs) are identified. By tuning the algorithm to account for accelerometer and gyroscope magnitude and walking cycle duration across four terrains (concrete, grass, pebbles and sand), the accuracy is improved up to 31.04%, dependent on the terrain, and is viable for outdoor use.

MDPI (MDPI AG)
Northrop Grumman (United States) (US), University College London (GB)
Climate action
Openalex Percentile: Top 72%
Inertial Sensor and Navigation
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