Cargando…
Self-Supervised Sidewalk Perception Using Fast Video Semantic Segmentation for Robotic Wheelchairs in Smart Mobility
The real-time segmentation of sidewalk environments is critical to achieving autonomous navigation for robotic wheelchairs in urban territories. A robust and real-time video semantic segmentation offers an apt solution for advanced visual perception in such complex domains. The key to this propositi...
Autores principales: | Pradeep, Vishnu, Khemmar, Redouane, Lecrosnier, Louis, Duchemin, Yann, Rossi, Romain, Decoux, Benoit |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2022
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9324891/ https://www.ncbi.nlm.nih.gov/pubmed/35890920 http://dx.doi.org/10.3390/s22145241 |
Ejemplares similares
-
A Dataset for Temporal Semantic Segmentation Dedicated to Smart Mobility of Wheelchairs on Sidewalks
por: Decoux, Benoit, et al.
Publicado: (2022) -
Deep Learning-Based Object Detection, Localisation and Tracking for Smart Wheelchair Healthcare Mobility
por: Lecrosnier, Louis, et al.
Publicado: (2020) -
Classification of the Sidewalk Condition Using Self-Supervised Transfer Learning for Wheelchair Safety Driving
por: Yoon, Ha-Yeong, et al.
Publicado: (2022) -
Real-Time 3D Multi-Object Detection and Localization Based on Deep Learning for Road and Railway Smart Mobility
por: Mauri, Antoine, et al.
Publicado: (2021) -
Deep Learning for Real-Time 3D Multi-Object Detection, Localisation, and Tracking: Application to Smart Mobility
por: Mauri, Antoine, et al.
Publicado: (2020)