Griffiths, D., & Boehm, J. (2019). A Review on Deep Learning Techniques for 3D Sensed Data Classification. Remote Sensing, 11 (12), 1499. doi:10.3390/rs11121499

Sun, Y., Robson, S., Scott, D., Boehm, J., & Wang, Q. (2019). Automatic sensor orientation using horizontal and vertical line feature constraints. ISPRS Journal of Photogrammetry and Remote Sensing, 150, 172-184. doi:10.1016/j.isprsjprs.2019.02.011

Luhmann, T., & Boehm, J. (2019). Close-Range Photogrammetry and 3D Imaging.

Griffiths, D., & Boehm, J. (2019). Improving public data for building segmentation from Convolutional Neural Networks (CNNs) for fused airborne lidar and image data using active contours. ISPRS Journal of Photogrammetry and Remote Sensing, 154, 70-83. doi:10.1016/j.isprsjprs.2019.05.013

Pocobelli, D. P., Boehm, J., Bryan, P., Still, J., & Grau-Bové, J. (2018). BIM for heritage science: a review. Heritage Science, 6 (1), 30. doi:10.1186/s40494-018-0191-4

Robson, S., MacDonald, L., Kyle, S., Boehm, J., & Shortis, M. (2018). Optimised multi-camera systems for dimensional control in factory environments. Proceedings of the Institution of Mechanical Engineers, Part B: Journal of Engineering Manufacture, 232 (10), 1707-1718. doi:10.1177/0954405416654936

Panella, F., Loo, Y., Devriendt, M., Gonzalez, D., Kaushik, A., Ollerhead, R., & Boehm, J. (2018). Smart Image Based Technology and Deep Learning for Tunnel Inspection and Asset Management. Proceedings of the 16th World Conference Of the Associated Research Centers for the Urban Underground Space, 894-904. ACCUS.

Thomson, C. P. H. (2016). From Point Cloud to Building Information Model: Capturing and Processing Survey Data Towards Automation for High Quality 3D Models to Aid a BIM Process (Doctoral dissertation). UCL.

Böhm, J., Bredif, M., Gierlinger, T., Krämer, M., Lindenbergh, R., Liu, K., . . . Sirmacek, B. (2016). The Iqmulus urban showcase: Automatic tree classification and identification in huge mobile mapping point clouds. International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences - ISPRS Archives, 41, 301-307. doi:10.5194/isprsarchives-XLI-B3-301-2016

Thomson, C., & Boehm, J. (2015). Automatic Geometry Generation from Point Clouds for BIM. REMOTE SENSING, 7 (9), 11753-11775. doi:10.3390/rs70911753