Model-based prediction for navigation assistance using a set of sensors

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Navigation assistance is a vital step towards higher level automation and intelligence. This paper presents a new conceptual design for an assistive system. It helps to manoeuvre powered wheelchairs in challenging situations so that more people can drive them. The method is based on dynamic motion prediction using sensors to provide information about the surroundings. Generic components of the assistive system are presented based on manoeuvre prediction. Wheelchair user behaviour was analysed while they were driving their wheelchairs. Other aspects are discussed, including the precision of the models built upon actuator and environmental data collected from a strategically selected set of sensors.
Original languageEnglish
JournalJournal of Physics: Conference Series
Publication statusAccepted for publication - 1 Nov 2021
Event2nd International Symposium on Automation, Information and Computing 2021 - China, Beijing , China
Duration: 3 Dec 20216 Dec 2021


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