Yingbing Su, Huarui Zhu, Zhou Zhou, Bingshan Hu, Hongliu Yu, Renren Bao
{"title":"Research on Autonomous Movement of Nursing Wheelchair Based on Multi-sensor Fusion","authors":"Yingbing Su, Huarui Zhu, Zhou Zhou, Bingshan Hu, Hongliu Yu, Renren Bao","doi":"10.1109/RCAR52367.2021.9517453","DOIUrl":null,"url":null,"abstract":"Aiming at the mobility needs of semi-disabled patients, an intelligent nursing wheelchair was designed to realize the autonomous movement of the wheelchair. First, the Cartographer algorithm based on graph optimization was introduced to wheelchairs to locate them in unknown environments. Secondly, multiple sensor information is fused to improve the positioning accuracy. Finally, machine vision, SLAM, path planning and other technologies are applied to the wheelchair to improve its intelligence and interactivity. Finally, an intelligent nursing wheelchair prototype is built, and the autonomous mobility system of the wheelchair is proved to have good robustness through experiments.","PeriodicalId":232892,"journal":{"name":"2021 IEEE International Conference on Real-time Computing and Robotics (RCAR)","volume":"140 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2021-07-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2021 IEEE International Conference on Real-time Computing and Robotics (RCAR)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/RCAR52367.2021.9517453","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
Aiming at the mobility needs of semi-disabled patients, an intelligent nursing wheelchair was designed to realize the autonomous movement of the wheelchair. First, the Cartographer algorithm based on graph optimization was introduced to wheelchairs to locate them in unknown environments. Secondly, multiple sensor information is fused to improve the positioning accuracy. Finally, machine vision, SLAM, path planning and other technologies are applied to the wheelchair to improve its intelligence and interactivity. Finally, an intelligent nursing wheelchair prototype is built, and the autonomous mobility system of the wheelchair is proved to have good robustness through experiments.