Ryota Inoue, T. Arai, T. Arakawa, M. Tsujimoto, K. Taniguchi, N. Kubota
{"title":"Intelligent control of illuminance measurement robot based on multi-sensor fusion","authors":"Ryota Inoue, T. Arai, T. Arakawa, M. Tsujimoto, K. Taniguchi, N. Kubota","doi":"10.1109/ICESI.2019.8863007","DOIUrl":null,"url":null,"abstract":"Researchers have been trying to promote the mobile robot to measure illuminance in construction area due to the lack of labor population. Most of the existing robot is using laser range finder. There sometimes are collision with equipment such as cables, stepladders and desks because LRF can only get the data on a certain height from floor. To solve this collision, this paper provides intelligent control by using a LRF and a Depth camera. The experiments show that in the construction field, the control by multi-sensor fusion behave better than the previous one.","PeriodicalId":249316,"journal":{"name":"2019 International Conference on Engineering, Science, and Industrial Applications (ICESI)","volume":"172 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2019-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2019 International Conference on Engineering, Science, and Industrial Applications (ICESI)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICESI.2019.8863007","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
Researchers have been trying to promote the mobile robot to measure illuminance in construction area due to the lack of labor population. Most of the existing robot is using laser range finder. There sometimes are collision with equipment such as cables, stepladders and desks because LRF can only get the data on a certain height from floor. To solve this collision, this paper provides intelligent control by using a LRF and a Depth camera. The experiments show that in the construction field, the control by multi-sensor fusion behave better than the previous one.