9. References

DDS & Middleware

[1] Object Management Group. Data Distribution Service (DDS) for Real-Time Systems. OMG Standard. Available: https://www.omg.org/spec/DDS

[2] Object Management Group. DDS for eXtremely Resource Constrained Environments (DDS-XRCE). OMG Standard. Available: https://www.omg.org/spec/DDS-XRCE

[3] eProsima. Fast DDS Documentation. Available: https://fast-dds.docs.eprosima.com

[4] Eclipse Foundation. Cyclone DDS. Available: https://projects.eclipse.org/projects/iot.cyclonedds

XR & Spatial Computing

[5] Khronos Group. OpenXR Specification. Available: https://www.khronos.org/openxr

[6] Open Geospatial Consortium. OGC GeoPose 1.0 Data Exchange Standard. Available: https://www.ogc.org/standards/geopose

Geospatial Standards

[7] Open Geospatial Consortium. CityGML Standard. Available: https://www.ogc.org/standards/citygml

[8] Geohash. Wikipedia Entry. Available: https://en.wikipedia.org/wiki/Geohash

SLAM, SfM & AI World Models

[9] Mur-Artal, R., Montiel, J. M. M., & Tardós, J. D. (2015). ORB-SLAM: A Versatile and Accurate Monocular SLAM System. IEEE Transactions on Robotics, 31(5), 1147–1163.

[10] Schönberger, J. L., & Frahm, J.-M. (2016). Structure-from-Motion Revisited. In IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 4104–4113.

[11] Sarlin, P.-E., Unagar, A., Larsson, M., et al. (2020). From Coarse to Fine: Robust Hierarchical Localization at Large Scale. In IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 12716–12725.

[12] Google Research. ARCore Geospatial API & Visual Positioning Service. Developer Documentation. Available: https://developers.google.com/ar