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CIPA 2023 Symposium CIPA 2023研讨会
Pub Date : 2023-06-01 DOI: 10.1111/phor.1_12449
• 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.
•关键点提取与深度网络匹配管道的配方。•几何约束在深度网络训练中的应用。•利用额外的线索,如语义和单深度估计。•解决当前方法失效的对抗性条件的方法(天气变化,白天和黑夜等)。•注意机制,以匹配显著的图像区域。•将可微分组件集成到3D重建框架中。•连接局部描述符/图像匹配与全局描述符/图像检索。•匹配不同的数据模式,如空中与地面。•通过我们的开放式挑战对经典和现代图像匹配方法进行大规模评估。•新的感知设备,如基于事件的摄像头。•与图像匹配,运动结构,映射和重新定位相关的其他主题,例如隐私保护表示。
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引用次数: 0
The 2nd Ramon International Geospatial Intelligence 360 Conference 第二届拉蒙国际地理空间情报360会议
Pub Date : 2023-06-01 DOI: 10.1111/phor.11_12449
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引用次数: 0
13th International Symposium on Digital Earth 第十三届数字地球国际研讨会
Pub Date : 2023-06-01 DOI: 10.1111/phor.5_12449
• 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.
•软件状态,新软件/项目开发,基准测试。•FOSS4G在战略应用领域的实施:土地管理、危机/灾害响应、智慧城市、人口测绘、气候变化、海洋和海洋监测等。•数据可视化:空间分析、地理空间数据的操作和可视化。•数据收集、数据共享、数据科学、开放数据、大数据、数据开发平台。•传感器,遥感,激光扫描,结构从运动。•新趋势:物联网(IoT)、室内制图、无人机(UAV)、人工智能、机器学习、深度学习、地理空间数据结构。•开放和可复制的科学。•标准、互操作性、sdi。•社区和参与式FOSS4G。•政府机构的FOSS4G。•教育领域的FOSS4G。•基于FOSS4G的商业产品。
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引用次数: 0
CVPR 2023 Workshop CVPR 2023研讨会
Pub Date : 2023-06-01 DOI: 10.1111/phor.12449
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引用次数: 0
Surveying and Geomatics Educators Society 2023 Conference 测绘教育家协会2023年会议
Pub Date : 2023-06-01 DOI: 10.1111/phor.6_12449
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引用次数: 0
IGARSS 2023 IGARSS 2023
Pub Date : 2023-06-01 DOI: 10.1111/phor.2_12449
• 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.
•数字遗产和保护。•文化遗产风险评估。•记录考古遗址。•记录现代建筑。•记录水下遗产。•文化遗产的虚拟、增强和扩展现实。•遗产文献培训经验。•技术改变教育。•人工智能和文化遗产记录。•建筑遗产监测。•新博物馆可达性的新技术。•对抗战争破坏的数字技术。•文化遗产3D复制:技术和方法。•3D技术支持遗产管理和维护活动。•虚拟保护。•数字双胞胎。•共享信息和3D数据。•共同创造社区,生活实验室。
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引用次数: 0
A low‐drift and real‐time localisation and mapping method for handheld hemispherical view LiDAR‐IMU integration system 一种用于手持式半球形激光雷达- IMU集成系统的低漂移实时定位和制图方法
Pub Date : 2023-06-01 DOI: 10.1111/phor.12447
X. Duan, Qingwu Hu, P. Zhao, Fei Yu, M. Ai
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.
本文提出了一种同时定位和映射(SLAM)框架,该框架使用手持式半球形视图LiDAR - IMU集成系统。根据半球面激光雷达的特点,设计了基于种子点的地面分割模块。然后对接地点进行下采样以消除冗余的垂直约束。利用IMU数据和预处理后的点云,通过紧耦合迭代扩展卡尔曼滤波(iEKF)进行状态估计,得到姿态估计。自动检测的闭环闭包为里程计提供闭环约束,因子图确保地图的全局一致性。通过原型系统收集来自不同场景的数据。通过定性和定量实验验证了该框架的性能。根据实验结果,我们的框架实现了低漂移、高覆盖和实时性能,在我们的手持式半球形LiDAR - IMU测试站点中优于最先进的LiDAR SLAM方法。为了研究界的利益,数据集公开提供给其他研究人员进行比较。
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引用次数: 1
International Summer School 2023 国际暑期学校2023
Pub Date : 2023-06-01 DOI: 10.1111/phor.8_12449
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引用次数: 0
2nd Workshop on Evaluation and Benchmark of Sensors and Systems in Photogrammetry and Remote Sensing 第二届摄影测量与遥感传感器与系统评估与基准研讨会
Pub Date : 2023-06-01 DOI: 10.1111/phor.9_12449
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.
市场上用于收集空间数据的传感器和系统种类繁多,这使得对所提供的信息进行评估、对传感器进行校准和对系统进行基准测试成为一项关键任务。对于许多专业人士来说,这也是一个重要的科学问题。在日常工作中,对收集和生成空间数据资源的算法和传感器的评估是学术机构、研究中心、国家测绘和地籍机构以及所有处理地理空间数据的专业人员的关键问题。因此,gebench讲习班适合那些愿意扩展其在摄影测量和遥感领域知识的人- -目前对该部门的算法和传感器的评价以及新的基准。该研讨会是2019年在波兰华沙成功举办的第一次研讨会的后续活动,将于2023年10月23日至24日在波兰克拉科夫AGH科技大学举行。
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引用次数: 0
ISPRS Geospatial Week 2023 ISPRS地理空间周2023
Pub Date : 2023-06-01 DOI: 10.1111/phor.7_12449
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):
阿拉伯科学、技术和海运学院(AASTMT)荣幸地主办了ISPRS于2023年在非洲和中东举办的第一届地理空间周(GSW2023),该周将在阿拉伯国家联盟秘书长的主持下举行。会议将于2023年9月在埃及开罗的开罗城市之星洲际酒店举行。AASTMT坚信科学是未来的关键,是国家进步和繁荣的基石。它是各个时代人类取得成就的主要因素。以下工作坊将包括在地理空间周2023(截至2022年10月3日):
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引用次数: 0
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The Photogrammetric Record
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