{"title":"面向时变场景的下一个最佳视图规划","authors":"Embla Morast, P. Jensfelt","doi":"10.1109/ICARA51699.2021.9376559","DOIUrl":null,"url":null,"abstract":"In modelling and reconstruction of objects or scenes, dynamic settings present different challenges than the more well-studied static case. In this work, we explore these challenges by investigating how next best view planning can be adapted for observation of dynamic scenes. We conduct a thorough review of different representations of information based on precedent from the static case, and find that view planning cannot be directly transferred from static environments to dynamic scenes without accounting for information deterioration and observational bias.","PeriodicalId":183788,"journal":{"name":"2021 7th International Conference on Automation, Robotics and Applications (ICARA)","volume":"12 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2021-02-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Towards Next Best View Planning for Time-Variant Scenes\",\"authors\":\"Embla Morast, P. Jensfelt\",\"doi\":\"10.1109/ICARA51699.2021.9376559\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"In modelling and reconstruction of objects or scenes, dynamic settings present different challenges than the more well-studied static case. In this work, we explore these challenges by investigating how next best view planning can be adapted for observation of dynamic scenes. We conduct a thorough review of different representations of information based on precedent from the static case, and find that view planning cannot be directly transferred from static environments to dynamic scenes without accounting for information deterioration and observational bias.\",\"PeriodicalId\":183788,\"journal\":{\"name\":\"2021 7th International Conference on Automation, Robotics and Applications (ICARA)\",\"volume\":\"12 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2021-02-04\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2021 7th International Conference on Automation, Robotics and Applications (ICARA)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICARA51699.2021.9376559\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2021 7th International Conference on Automation, Robotics and Applications (ICARA)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICARA51699.2021.9376559","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Towards Next Best View Planning for Time-Variant Scenes
In modelling and reconstruction of objects or scenes, dynamic settings present different challenges than the more well-studied static case. In this work, we explore these challenges by investigating how next best view planning can be adapted for observation of dynamic scenes. We conduct a thorough review of different representations of information based on precedent from the static case, and find that view planning cannot be directly transferred from static environments to dynamic scenes without accounting for information deterioration and observational bias.