INDOOR MAPPING EYEWEAR: GEOMETRIC EVALUATION OF SPATIAL MAPPING CAPABILITY OF HOLOLENS

13 citations as recorded by crossref.

1. Indoor Mapping with Entertainment Devices: Evaluating the Impact of Different Mapping Strategies for Microsoft HoloLens 2 and Apple iPhone 14 Pro J. Hou et al. 10.3390/s24041062
2. Aligning the real and the virtual world: Mixed reality localisation using learning-based 3D–3D model registration M. Radanovic et al. 10.1016/j.aei.2023.101960
3. Scene Understanding for Dimensional Compliance Checks in Mixed-Reality M. Lee et al. 10.3390/civileng5010001
4. Multi robots interactive control using mixed reality M. Ostanin et al. 10.1080/00207543.2020.1834640
5. Automatic voxel-based 3D indoor reconstruction and room partitioning from triangle meshes P. Hübner et al. 10.1016/j.isprsjprs.2021.07.002
6. Augmented reality and deep learning based system for assisting assembly process S. Raj et al. 10.1007/s12193-023-00428-3
7. Pose Normalization of Indoor Mapping Datasets Partially Compliant with the Manhattan World Assumption P. Hübner et al. 10.3390/rs13234765
8. Issues, Challenges, and Solutions in Data Acquisition in Virtual and Augmented Reality Environments S. Shirazi et al. 10.21015/vtse.v12i2.1849
9. Efficient 3D Mapping and Modelling of Indoor Scenes with the Microsoft HoloLens: A Survey M. Weinmann et al. 10.1007/s41064-021-00163-y
10. An eye gaze-aided virtual tape measure for smart construction X. Wang et al. 10.1139/cjce-2023-0056
11. Thermal reality capturing with the Microsoft HoloLens 2 for energy system analysis T. Kinnen et al. 10.1016/j.enbuild.2023.113020
12. Use of Smartphone Lidar Technology for Low-Cost 3D Building Documentation with iPhone 13 Pro: A Comparative Analysis of Mobile Scanning Applications C. Askar & H. Sternberg 10.3390/geomatics3040030
13. Evaluation of HoloLens Tracking and Depth Sensing for Indoor Mapping Applications P. Hübner et al. 10.3390/s20041021