• Formulations of key point extraction and matching pipelines with deep networks. • Application of geometric constraints into the training of deep networks. • Leveraging additional cues such as semantics and monodepth estimates. • Methods addressing adversarial conditions where current methods fail (weather changes, day versus night, etc.). • Attention mechanisms to match salient image regions. • Integration of differentiable components into 3D reconstruction frameworks. • Connecting local descriptors/image matching with global descriptors/image retrieval. • Matching across different data modalities such as aerial versus ground. • Largescale evaluation of classical and modern methods for image matching by means of our open challenge. • New perception devices such as eventbased cameras. • Other topics related to image matching, structure from motion, mapping and relocalisation, such as privacypreserving representations.
{"title":"CIPA 2023 Symposium","authors":"","doi":"10.1111/phor.1_12449","DOIUrl":"https://doi.org/10.1111/phor.1_12449","url":null,"abstract":"• Formulations of key point extraction and matching pipelines with deep networks. • Application of geometric constraints into the training of deep networks. • Leveraging additional cues such as semantics and monodepth estimates. • Methods addressing adversarial conditions where current methods fail (weather changes, day versus night, etc.). • Attention mechanisms to match salient image regions. • Integration of differentiable components into 3D reconstruction frameworks. • Connecting local descriptors/image matching with global descriptors/image retrieval. • Matching across different data modalities such as aerial versus ground. • Largescale evaluation of classical and modern methods for image matching by means of our open challenge. • New perception devices such as eventbased cameras. • Other topics related to image matching, structure from motion, mapping and relocalisation, such as privacypreserving representations.","PeriodicalId":22881,"journal":{"name":"The Photogrammetric Record","volume":"122 6 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"76452898","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
• Software status, new software/project development, benchmarking. • FOSS4G implementations in strategic application domains: land management, crisis/disaster response, smart cities, population mapping, climate change, ocean and marine monitoring, etc. • Data visualisation: spatial analysis, manipulation and visualisation of geospatial data. • Data collection, data sharing, data science, open data, big data, dataexploitation platforms. • Sensors, remote sensing, laserscanning, structure from motion. • New trends: Internet of Things (IoT), indoor mapping, drones– unmanned aerial vehicle (UAV), artificial intelligencemachine learning, deep learning, geospatial data structures. • Open and reproducible science. • Standards, interoperability, SDIs. • Community and participatory FOSS4G. • FOSS4G at governmental institutions. • FOSS4G in education. • Business products powered by FOSS4G.
{"title":"13th International Symposium on Digital Earth","authors":"","doi":"10.1111/phor.5_12449","DOIUrl":"https://doi.org/10.1111/phor.5_12449","url":null,"abstract":"• Software status, new software/project development, benchmarking. • FOSS4G implementations in strategic application domains: land management, crisis/disaster response, smart cities, population mapping, climate change, ocean and marine monitoring, etc. • Data visualisation: spatial analysis, manipulation and visualisation of geospatial data. • Data collection, data sharing, data science, open data, big data, dataexploitation platforms. • Sensors, remote sensing, laserscanning, structure from motion. • New trends: Internet of Things (IoT), indoor mapping, drones– unmanned aerial vehicle (UAV), artificial intelligencemachine learning, deep learning, geospatial data structures. • Open and reproducible science. • Standards, interoperability, SDIs. • Community and participatory FOSS4G. • FOSS4G at governmental institutions. • FOSS4G in education. • Business products powered by FOSS4G.","PeriodicalId":22881,"journal":{"name":"The Photogrammetric Record","volume":"14 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"91261240","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
• Digital heritage and preservation. • Cultural heritage risk assessment. • Documenting archaeological sites. • Documenting modern architecture. • Documenting underwater heritage. • Virtual, augmented and extended reality for cultural heritage. • Heritage documentation training experiences. • Technologies changing education. • Artificial intelligence and documentation of cultural heritage. • Built heritage monitoring. • New technologies for new museums accessibility. • Digital technologies countering wars destruction. • Cultural heritage 3D reproduction: techniques and methods. • 3D technology supporting heritage management and maintenance activity. • Virtual conservation. • Digital twins. • Sharing information and 3D data. • Cocreation communitiesliving labs.
{"title":"IGARSS 2023","authors":"","doi":"10.1111/phor.2_12449","DOIUrl":"https://doi.org/10.1111/phor.2_12449","url":null,"abstract":"• Digital heritage and preservation. • Cultural heritage risk assessment. • Documenting archaeological sites. • Documenting modern architecture. • Documenting underwater heritage. • Virtual, augmented and extended reality for cultural heritage. • Heritage documentation training experiences. • Technologies changing education. • Artificial intelligence and documentation of cultural heritage. • Built heritage monitoring. • New technologies for new museums accessibility. • Digital technologies countering wars destruction. • Cultural heritage 3D reproduction: techniques and methods. • 3D technology supporting heritage management and maintenance activity. • Virtual conservation. • Digital twins. • Sharing information and 3D data. • Cocreation communitiesliving labs.","PeriodicalId":22881,"journal":{"name":"The Photogrammetric Record","volume":"12 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"82208237","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
This paper proposes a simultaneous localisation and mapping (SLAM) framework that uses a handheld hemispherical view LiDAR‐IMU integration system. Inspired by the specific characteristic of the hemispherical view LiDAR, a ground segmentation module based on seed points is designed. The ground points are then downsampled to eliminate redundant vertical constraints. The IMU data and the pre‐processed point cloud are used to perform state estimation via a tightly coupled iterative extended Kalman filter (iEKF) to obtain the pose estimation. The automatically detected loop closures provide closed‐loop constraints for the odometry, and a factor graph ensures the global consistency of the map. Data from diverse scenes are collected via a prototype system. Both qualitative and quantitative experiments are carried out to verify the framework's performance. According to the experimental results, our framework achieves low‐drift, high‐coverage and real‐time performance, outperforming the state‐of‐the‐art LiDAR SLAM methods in our handheld hemispherical view LiDAR‐IMU test sites. For the research community's benefit, the dataset is publicly provided for other researchers to compare against.
{"title":"A low‐drift and real‐time localisation and mapping method for handheld hemispherical view LiDAR‐IMU integration system","authors":"X. Duan, Qingwu Hu, P. Zhao, Fei Yu, M. Ai","doi":"10.1111/phor.12447","DOIUrl":"https://doi.org/10.1111/phor.12447","url":null,"abstract":"This paper proposes a simultaneous localisation and mapping (SLAM) framework that uses a handheld hemispherical view LiDAR‐IMU integration system. Inspired by the specific characteristic of the hemispherical view LiDAR, a ground segmentation module based on seed points is designed. The ground points are then downsampled to eliminate redundant vertical constraints. The IMU data and the pre‐processed point cloud are used to perform state estimation via a tightly coupled iterative extended Kalman filter (iEKF) to obtain the pose estimation. The automatically detected loop closures provide closed‐loop constraints for the odometry, and a factor graph ensures the global consistency of the map. Data from diverse scenes are collected via a prototype system. Both qualitative and quantitative experiments are carried out to verify the framework's performance. According to the experimental results, our framework achieves low‐drift, high‐coverage and real‐time performance, outperforming the state‐of‐the‐art LiDAR SLAM methods in our handheld hemispherical view LiDAR‐IMU test sites. For the research community's benefit, the dataset is publicly provided for other researchers to compare against.","PeriodicalId":22881,"journal":{"name":"The Photogrammetric Record","volume":"139 1","pages":"176 - 196"},"PeriodicalIF":0.0,"publicationDate":"2023-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"74460429","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
The wide variety of sensors and systems available on the market for collecting spatial data makes the evaluation of provided information, calibration of sensors and benchmarking of systems a critical task. It is also an important scientific issue for many professionals. In daily work, the assessment of algorithms and sensors for collecting and generating spatial data resources is a crucial issue for academic institutions, research centres, national mapping and cadastral agencies, and all professionals handling geospatial data. The GEOBENCH workshop is therefore appropriate for those willing to extend their knowledge in the fields of photogrammetry and remote sensing – present evaluations of algorithms and sensors in the sector as well as new benchmarks. The workshop is a followup of the first successful event held in Warsaw, Poland, in 2019 and will be held in the AGH University of Science and Technology in Krakow, Poland, on 23– 24 October 2023.
{"title":"2nd Workshop on Evaluation and Benchmark of Sensors and Systems in Photogrammetry and Remote Sensing","authors":"","doi":"10.1111/phor.9_12449","DOIUrl":"https://doi.org/10.1111/phor.9_12449","url":null,"abstract":"The wide variety of sensors and systems available on the market for collecting spatial data makes the evaluation of provided information, calibration of sensors and benchmarking of systems a critical task. It is also an important scientific issue for many professionals. In daily work, the assessment of algorithms and sensors for collecting and generating spatial data resources is a crucial issue for academic institutions, research centres, national mapping and cadastral agencies, and all professionals handling geospatial data. The GEOBENCH workshop is therefore appropriate for those willing to extend their knowledge in the fields of photogrammetry and remote sensing – present evaluations of algorithms and sensors in the sector as well as new benchmarks. The workshop is a followup of the first successful event held in Warsaw, Poland, in 2019 and will be held in the AGH University of Science and Technology in Krakow, Poland, on 23– 24 October 2023.","PeriodicalId":22881,"journal":{"name":"The Photogrammetric Record","volume":"4 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"73337769","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
The Arab Academy for Science, Technology, and Maritime Transport (AASTMT) is honoured to host the ISPRS first Geospatial Week in Africa and Middle East in 2023 (GSW2023) which will be held under the auspices of the H. E. SecretaryGeneral of the League of Arab States. The conference will be held in September 2023 at the InterContinental Cairo City Stars in Cairo, Egypt. The AASTMT strongly believes that science is the key to the future and the cornerstone for nations’ progress and prosperity. It is the primary factor for human achievements throughout all ages. The following workshops will be included in the Geospatial Week 2023 (as of 3 October 2022):
{"title":"ISPRS Geospatial Week 2023","authors":"","doi":"10.1111/phor.7_12449","DOIUrl":"https://doi.org/10.1111/phor.7_12449","url":null,"abstract":"The Arab Academy for Science, Technology, and Maritime Transport (AASTMT) is honoured to host the ISPRS first Geospatial Week in Africa and Middle East in 2023 (GSW2023) which will be held under the auspices of the H. E. SecretaryGeneral of the League of Arab States. The conference will be held in September 2023 at the InterContinental Cairo City Stars in Cairo, Egypt. The AASTMT strongly believes that science is the key to the future and the cornerstone for nations’ progress and prosperity. It is the primary factor for human achievements throughout all ages. The following workshops will be included in the Geospatial Week 2023 (as of 3 October 2022):","PeriodicalId":22881,"journal":{"name":"The Photogrammetric Record","volume":"37 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"87186706","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}