Zhiwei Zhu, Mikhail Sizintsev, Glen Murray, Han-Pang Chiu, Ali Z. Chaudhry, S. Samarasekera, Rakesh Kumar
{"title":"移动车辆内的头戴式无标记增强现实","authors":"Zhiwei Zhu, Mikhail Sizintsev, Glen Murray, Han-Pang Chiu, Ali Z. Chaudhry, S. Samarasekera, Rakesh Kumar","doi":"10.1109/VRW55335.2022.00191","DOIUrl":null,"url":null,"abstract":"This paper describes a system that provides general head-worn outdoor augmented reality (AR) capability for the user inside a moving vehicle. Our system follows the concept of combining pose estimation from both vehicle navigation system and wearable sensors to address the failure of commercial AR devices inside a moving vehicle. We continuously match natural visual features from the camera against a prebuilt database of interior vehicle scenes. To improve the robustness in a moving vehicle with other passengers, a human detection module is adapted to filter out people from the camera scene. Experiments demonstrate the effectiveness of the proposed solution.","PeriodicalId":326252,"journal":{"name":"2022 IEEE Conference on Virtual Reality and 3D User Interfaces Abstracts and Workshops (VRW)","volume":null,"pages":null},"PeriodicalIF":0.0000,"publicationDate":"2022-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Head-Worn Markerless Augmented Reality Inside A Moving Vehicle\",\"authors\":\"Zhiwei Zhu, Mikhail Sizintsev, Glen Murray, Han-Pang Chiu, Ali Z. Chaudhry, S. Samarasekera, Rakesh Kumar\",\"doi\":\"10.1109/VRW55335.2022.00191\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This paper describes a system that provides general head-worn outdoor augmented reality (AR) capability for the user inside a moving vehicle. Our system follows the concept of combining pose estimation from both vehicle navigation system and wearable sensors to address the failure of commercial AR devices inside a moving vehicle. We continuously match natural visual features from the camera against a prebuilt database of interior vehicle scenes. To improve the robustness in a moving vehicle with other passengers, a human detection module is adapted to filter out people from the camera scene. Experiments demonstrate the effectiveness of the proposed solution.\",\"PeriodicalId\":326252,\"journal\":{\"name\":\"2022 IEEE Conference on Virtual Reality and 3D User Interfaces Abstracts and Workshops (VRW)\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2022-03-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2022 IEEE Conference on Virtual Reality and 3D User Interfaces Abstracts and Workshops (VRW)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/VRW55335.2022.00191\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2022 IEEE Conference on Virtual Reality and 3D User Interfaces Abstracts and Workshops (VRW)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/VRW55335.2022.00191","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Head-Worn Markerless Augmented Reality Inside A Moving Vehicle
This paper describes a system that provides general head-worn outdoor augmented reality (AR) capability for the user inside a moving vehicle. Our system follows the concept of combining pose estimation from both vehicle navigation system and wearable sensors to address the failure of commercial AR devices inside a moving vehicle. We continuously match natural visual features from the camera against a prebuilt database of interior vehicle scenes. To improve the robustness in a moving vehicle with other passengers, a human detection module is adapted to filter out people from the camera scene. Experiments demonstrate the effectiveness of the proposed solution.