Deep Learning-Based Object Detection, Localisation and Tracking for Smart Wheelchair Healthcare Mobility

Deep Learning-Based Object Detection, Localisation and Tracking for Smart Wheelchair Healthcare Mobility

This paper deals with the development of an Advanced Driver Assistance System (ADAS) for a smart electric wheelchair in order to improve the autonomy of disabled people. Our use case, built from a formal clinical study, is based on the detection, depth estimation, localization and tracking of object...

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Bibliographic Details
Main Authors: Louis Lecrosnier, Redouane Khemmar, Nicolas Ragot, Benoit Decoux, Romain Rossi, Naceur Kefi, Jean-Yves Ertaud
Format: Article
Language:English
Published: MDPI AG 2021-12-01
Series:International Journal of Environmental Research and Public Health
Subjects:
object detection
tracking
distance estimation
smart mobility
object localization
distance measurement
Online Access:https://www.mdpi.com/1660-4601/18/1/91

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