{"title":"基于语义分割的视觉导航在以人为本的环境中的实际应用","authors":"Miho Adachi, Kazufumi Honda, Junfeng Xue, Hiroaki Sudo, Yuriko Ueda, Yuki Yuda, Marin Wada, Ryusuke Miyamoto","doi":"10.20965/jrm.2023.p1419","DOIUrl":null,"url":null,"abstract":"This study focuses on visual navigation methods for autonomous mobile robots based on semantic segmentation results. The challenge is to perform the expected actions without being affected by the presence of pedestrians. Therefore, we implemented a semantics-based localization method that is not affected by dynamic obstacles and a direction change method at intersections that functions even with coarse-grain localization results. The proposed method was evaluated through driving experiments in the Tsukuba Challenge 2022, where a 290 m run including 10 intersections was achieved in the confirmation run section.","PeriodicalId":51661,"journal":{"name":"Journal of Robotics and Mechatronics","volume":"17 1","pages":""},"PeriodicalIF":0.9000,"publicationDate":"2023-12-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Practical Implementation of Visual Navigation Based on Semantic Segmentation for Human-Centric Environments\",\"authors\":\"Miho Adachi, Kazufumi Honda, Junfeng Xue, Hiroaki Sudo, Yuriko Ueda, Yuki Yuda, Marin Wada, Ryusuke Miyamoto\",\"doi\":\"10.20965/jrm.2023.p1419\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This study focuses on visual navigation methods for autonomous mobile robots based on semantic segmentation results. The challenge is to perform the expected actions without being affected by the presence of pedestrians. Therefore, we implemented a semantics-based localization method that is not affected by dynamic obstacles and a direction change method at intersections that functions even with coarse-grain localization results. The proposed method was evaluated through driving experiments in the Tsukuba Challenge 2022, where a 290 m run including 10 intersections was achieved in the confirmation run section.\",\"PeriodicalId\":51661,\"journal\":{\"name\":\"Journal of Robotics and Mechatronics\",\"volume\":\"17 1\",\"pages\":\"\"},\"PeriodicalIF\":0.9000,\"publicationDate\":\"2023-12-20\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Journal of Robotics and Mechatronics\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.20965/jrm.2023.p1419\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q4\",\"JCRName\":\"ROBOTICS\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Robotics and Mechatronics","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.20965/jrm.2023.p1419","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q4","JCRName":"ROBOTICS","Score":null,"Total":0}
Practical Implementation of Visual Navigation Based on Semantic Segmentation for Human-Centric Environments
This study focuses on visual navigation methods for autonomous mobile robots based on semantic segmentation results. The challenge is to perform the expected actions without being affected by the presence of pedestrians. Therefore, we implemented a semantics-based localization method that is not affected by dynamic obstacles and a direction change method at intersections that functions even with coarse-grain localization results. The proposed method was evaluated through driving experiments in the Tsukuba Challenge 2022, where a 290 m run including 10 intersections was achieved in the confirmation run section.
期刊介绍:
First published in 1989, the Journal of Robotics and Mechatronics (JRM) has the longest publication history in the world in this field, publishing a total of over 2,000 works exclusively on robotics and mechatronics from the first number. The Journal publishes academic papers, development reports, reviews, letters, notes, and discussions. The JRM is a peer-reviewed journal in fields such as robotics, mechatronics, automation, and system integration. Its editorial board includes wellestablished researchers and engineers in the field from the world over. The scope of the journal includes any and all topics on robotics and mechatronics. As a key technology in robotics and mechatronics, it includes actuator design, motion control, sensor design, sensor fusion, sensor networks, robot vision, audition, mechanism design, robot kinematics and dynamics, mobile robot, path planning, navigation, SLAM, robot hand, manipulator, nano/micro robot, humanoid, service and home robots, universal design, middleware, human-robot interaction, human interface, networked robotics, telerobotics, ubiquitous robot, learning, and intelligence. The scope also includes applications of robotics and automation, and system integrations in the fields of manufacturing, construction, underwater, space, agriculture, sustainability, energy conservation, ecology, rescue, hazardous environments, safety and security, dependability, medical, and welfare.