{"title":"A Survey of Object Goal Navigation: Datasets, Metrics and Methods","authors":"Dewei Wang, Jiaming Chen, Jiyu Cheng","doi":"10.1109/ICMA57826.2023.10215817","DOIUrl":null,"url":null,"abstract":"Object Goal Navigation (ObjectNav) aims at directing an agent to a specified target object within an unseen scene. This task integrates advanced techniques, including visual perception, semantic prior learning, and visual navigation, which makes it a challenging and emerging task within the Embodied AI field. In this survey paper, we offer a comprehensive review of widely-used datasets and corresponding evaluation metrics for ObjectNav. Additionally, we provide an in-depth review and analysis of recently developed methods. Finally, we present discussions on potential future research directions.","PeriodicalId":151364,"journal":{"name":"2023 IEEE International Conference on Mechatronics and Automation (ICMA)","volume":"59 ","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2023-08-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2023 IEEE International Conference on Mechatronics and Automation (ICMA)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICMA57826.2023.10215817","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
Object Goal Navigation (ObjectNav) aims at directing an agent to a specified target object within an unseen scene. This task integrates advanced techniques, including visual perception, semantic prior learning, and visual navigation, which makes it a challenging and emerging task within the Embodied AI field. In this survey paper, we offer a comprehensive review of widely-used datasets and corresponding evaluation metrics for ObjectNav. Additionally, we provide an in-depth review and analysis of recently developed methods. Finally, we present discussions on potential future research directions.
京公网安备 11010802042870号
京ICP备2023020795号-1
分享
求助内容：
应助结果提醒方式：
扫码关注我们
