JOURNAL ARTICLE

Indoor Pedestrian Navigation Using Foot-Mounted IMU and Portable Ultrasound Range Sensors

Gabriel GirardStéphane CôtéSisi ZlatanovaYannick BaretteJohanne St-PierrePeter van Oosterom

Year: 2011 Journal:   Sensors Vol: 11 (8)Pages: 7606-7624   Publisher: Multidisciplinary Digital Publishing Institute

Abstract

Many solutions have been proposed for indoor pedestrian navigation. Some rely on pre-installed sensor networks, which offer good accuracy but are limited to areas that have been prepared for that purpose, thus requiring an expensive and possibly time-consuming process. Such methods are therefore inappropriate for navigation in emergency situations since the power supply may be disturbed. Other types of solutions track the user without requiring a prepared environment. However, they may have low accuracy. Offline tracking has been proposed to increase accuracy, however this prevents users from knowing their position in real time. This paper describes a real time indoor navigation system that does not require prepared building environments and provides tracking accuracy superior to previously described tracking methods. The system uses a combination of four techniques: foot-mounted IMU (Inertial Motion Unit), ultrasonic ranging, particle filtering and model-based navigation. The very purpose of the project is to combine these four well-known techniques in a novel way to provide better indoor tracking results for pedestrians.

Keywords:
Inertial measurement unit Computer science Particle filter Real-time computing Tracking (education) Pedestrian Process (computing) Ranging Tracking system Inertial navigation system Dead reckoning Artificial intelligence Position (finance) Computer vision Simulation Engineering Inertial frame of reference Global Positioning System Kalman filter Telecommunications Transport engineering

Metrics

54
Cited By
2.13
FWCI (Field Weighted Citation Impact)
27
Refs
0.90
Citation Normalized Percentile
Is in top 1%
Is in top 10%

Citation History

Topics

Indoor and Outdoor Localization Technologies
Physical Sciences →  Engineering →  Electrical and Electronic Engineering
Robotics and Sensor-Based Localization
Physical Sciences →  Engineering →  Aerospace Engineering
Underwater Vehicles and Communication Systems
Physical Sciences →  Engineering →  Ocean Engineering

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