Multi-sensor Data Fusion for Wheelchair Position Estimation with Unscented Kalman Filter

Derradji Nada; Mounir Bousbia-Salah; Maâmar Bettayeb

doi:10.1007/s11633-017-1065-z

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Multi-sensor Data Fusion for Wheelchair Position Estimation with Unscented Kalman Filter

Derradji Nada Mounir Bousbia-Salah Maâmar Bettayeb

Year: 2017 Journal: International Journal of Automation and Computing Vol: 15 (2)Pages: 207-217 Publisher: Springer Science+Business Media

DOI: 10.1007/s11633-017-1065-z

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Keywords:

Odometer Sensor fusion Kalman filter Accelerometer Computer science State vector Global Positioning System Extended Kalman filter Fusion Compass Position (finance) Engineering Control theory (sociology) Computer vision Artificial intelligence Geography Telecommunications

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Indoor and Outdoor Localization Technologies

Physical Sciences → Engineering → Electrical and Electronic Engineering

Gaze Tracking and Assistive Technology

Physical Sciences → Computer Science → Human-Computer Interaction

Target Tracking and Data Fusion in Sensor Networks

Physical Sciences → Computer Science → Artificial Intelligence

Multi-sensor Data Fusion for Wheelchair Position Estimation with Unscented Kalman Filter

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