Browse by UCL people
Group by: Type | Date
Number of items: 49.
Article
Backes, D;
Schumann, G;
Teferele, FN;
Boehm, J;
(2019)
Towards a High-resolution Drone-based 3d Mapping Dataset to Optimise Flood Hazard Modelling.
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences
, XLII-2
(W13)
pp. 181-187.
10.5194/isprs-archives-XLII-2-W13-181-2019.
|
Boehm, J;
(2014)
Accuracy Investigation for Structured-light Based Consumer 3D Sensors.
Photogrammetrie - Fernerkundung - Geoinformation
, 2014
(2)
pp. 117-127.
10.1127/1432-8364/2014/0214.
|
Boehm, J;
Liu, K;
(2015)
NOSQL For Storage and Retrieval of Large LiDAR Data Collections.
ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences
, XL-3/W
pp. 577-582.
10.5194/isprsarchives-XL-3-W3-577-2015.
|
Boehm, J;
Rutzinger, M;
Yang, B;
Weinmann, M;
Riveiro, B;
Yao, W;
(2019)
Preface. ISPRS Workshop Laser Scanning 2019.
[Editorial comment].
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences
, XLII-2
(W13)
pp. 915-917.
10.5194/isprs-archives-XLII-2-W13-915-2019.
|
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
pp. 70-83.
10.1016/j.isprsjprs.2019.05.013.
|
Griffiths, D;
Boehm, J;
(2019)
Weighted Point Cloud Augmentation for Neural Network Training Data Class-imbalance.
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences
, XLII-2
(W13)
pp. 981-987.
10.5194/isprs-archives-XLII-2-W13-981-201.
|
Griffiths, D;
Boehm, J;
(2019)
A Review on Deep Learning Techniques for 3D Sensed Data Classification.
Remote Sensing
, 11
(12)
, Article 1499. 10.3390/rs11121499.
|
Lindenbergh, R;
Yang, B;
Boehm, J;
Rutzinger, M;
Yao, W;
Weinmann, M;
(2017)
Preface.
ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences
, 4
(2W4)
pp. 31-33.
10.5194/isprs-annals-IV-2-W4-31-2017.
|
Lindenbergh, R;
Yang, B;
Boehm, J;
Rutzinger, M;
Yao, W;
Weinmann, M;
(2017)
Preface.
ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences
, XLII
(2W7)
pp. 199-201.
10.5194/isprs-archives-XLII-2-W7-199-2017.
|
Liu, K;
Boehm, J;
(2015)
Classification of Big Point Cloud Data Using Cloud Computing.
ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences
, XL-3/W
pp. 553-557.
10.5194/isprsarchives-XL-3-W3-553-2015.
|
Panella, Fabio;
Lipani, Aldo;
Boehm, Jan;
(2022)
Semantic segmentation of cracks: Data challenges and architecture.
Automation in Construction
, 135
, Article 104110. 10.1016/j.autcon.2021.104110.
|
Pocobelli, DP;
Boehm, J;
Bryan, P;
Still, J;
Grau-Bove, J;
(2018)
BIM for heritage science: a review.
[Review].
Heritage Science
, 6
, Article 30. 10.1186/s40494-018-0191-4.
|
Robson, S;
Boehm, J;
Shortis, M;
(2013)
Image selection in photogrammetric multi-view stereo methods for metric and complete 3D reconstruction.
Proceedings of SPIE - The International Society for Optical Engineering
, 8791
, Article 879107. 10.1117/12.2020472.
|
Robson, S;
MacDonald, L;
Kyle, S;
Boehm, J;
Shortis, MR;
(2016)
Optimised multi-camera systems for dimensional control in factory environments.
Proceedings of the Institution of Mechanical Engineers, Part B: Journal of Engineering Manufacture
10.1177/0954405416654936.
(In press).
|
Sanchez Castillo, E;
Griffiths, D;
Boehm, J;
(2021)
SEMANTIC SEGMENTATION OF TERRESTRIAL LIDAR DATA USING CO-REGISTERED RGB DATA.
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences
, XLIII-
pp. 223-229.
10.5194/isprs-archives-xliii-b2-2021-223-2021.
|
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
pp. 172-184.
10.1016/j.isprsjprs.2019.02.011.
|
Thomson, CPH;
Boehm, J;
(2015)
Automatic Geometry Generation from Point Clouds for BIM.
Remote Sensing
, 7
(9)
pp. 11753-11775.
10.3390/rs70911753.
|
Zhang, Z;
Zeng, Z;
Boehm, J;
(2023)
Investigation of the Radiometric Behaviour of a Low-Cost Automotive Lidar Sensor.
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences
, XLVIII
pp. 777-783.
10.5194/isprs-archives-XLVIII-1-W2-2023-777-2023.
|
Proceedings paper
Alis, C;
Boehm, J;
Liu, K;
(2016)
Parallel processing of big point clouds using Z-Order-based partitioning.
In:
Proceedings of the XXIII ISPRS Congress.
(pp. pp. 71-77).
International Society of Photogrammetry and Remote Sensing (ISPRS): Prague, Czech Republic.
|
Backes, D;
Thomson, C;
Malki-Epshtein, L;
Boehm, J;
(2014)
Chadwick GreenBIM: Advancing Operational Understanding of Historical Buildings with BIM to Support Sustainable Use.
In: Malki-Epsthein, L and Spataru, C and Marjanovic, L and Mumovic, D, (eds.)
Proceedings of the 2014 Building Simulation and Optimization Conference, 23-24 June 2014.
UCL (University College London)
(In press).
|
Baik, A;
Alitany, A;
Boehm, J;
Robson, S;
(2014)
Jeddah Historical Building Information Modelling "JHBIM" – Object Library.
In:
ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences.
(pp. 41 - 47).
International Society for Photogrammetry and Remote Sensing (ISPRS): Riva del Garda, Italy.
|
Baik, A;
Boehm, J;
(2017)
Hijazi Architectural Object Library (HAOL).
In:
(pp. pp. 55-62).
Copernicus GmbH
|
Baik, A;
Boehm, J;
(2015)
Building Information Modelling for Historical Building Historic Jeddah - Saudi Arabia.
In: Guidi, G and Torres, JC and Scopigno, R and Graf, H and Remondino, F and Brunet, P and Barcelo, J and Duranti, L and Hazan, S, (eds.)
(Proceedings) 2015 Digital Heritage.
(pp. pp. 125-128).
IEEE: Granada, Spain.
|
Baik, AHA;
Yaagoubi, R;
Boehm, J;
(2015)
Integration of Jeddah Historical BIM and 3D GIS for Documentation and restoration of historical monument.
In:
Proceedings of the 25th International CIPA Symposium 2015 (XL-5/W7).
(pp. pp. 29-34).
International Society for Photogrammetry and Remote Sensing (ISPRS): Taipei, Taiwan.
|
Boehm, J;
(2012)
Natural User Interface Sensors For Human Body Measurement.
In:
Proceedings of the XXII ISPRS Congress, Technical Commission III (Volume XXXIX-B3).
(pp. pp. 531-536).
International Society for Photogrammetry and Remote Sensing (ISPRS): Melbourne, Australia.
|
Boehm, J;
(2009)
Terrestrial LiDAR in Urban Data Acquisition.
In: Fritsch, D, (ed.)
Photogrammetric Week ’09.
(pp. 169 - 178).
Wichmann Verlag: Heidelberg.
|
Boehm, J;
Liu, K;
Alis, C;
(2016)
Sideloading - Ingestion Of large point clouds into the apache spark big data engine.
In:
Proceedings of the XXIII ISPRS Congress.
(pp. pp. 343-348).
International Society of Photogrammetry and Remote Sensing (ISPRS): Prague, Czech Republic.
|
Boehm, J;
Rutzinger, M;
Yang, B;
Weinmann, M;
Riveiro, B;
Yao, W;
(2019)
Preface – ISPRS Workshop Laser Scanning 2019.
In: Lichti, Derek D and Weng, Qihao, (eds.)
Proceedings of ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences.
(pp. pp. 313-315).
ISPRS: Enschede, The Netherlands.
|
Böhm, J;
Bredif, M;
Gierlinger, T;
Krämer, M;
Lindenbergh, R;
Liu, K;
Michel, F;
(2016)
The Iqmulus urban showcase: Automatic tree classification and identification in huge mobile mapping point clouds.
In:
XXIII ISPRS Congress 2016, Commission III: International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences.
(pp. pp. 301-307).
International Society of Photogrammetry and Remote Sensing (ISPRS): Prague, Czech Republic.
|
Bohm, J;
Guhring, J;
Brenner, C;
(2000)
Implementation and calibration of a multi sensor measuring system.
In: ELHakim, SFF and Gruen, A, (eds.)
Proceedings of the Conference on Videometrics and Optical Methods for 3D Shape Measurement 2000.
(pp. 154 - 161).
SPIE-Society of Photo-Optical Instrumentation Engineers: San Jose, CA, USA.
|
Budroni, A;
Böhm, J;
(2010)
Automatic 3D modelling of indoor Manhattan-world scenes from laser data.
In: Mills, JP and Barber, DM and Miller, PE and Newton, I, (eds.)
Proceedings of the ISPRS Commission V Mid-Term Symposium 'Close Range Image Measurement Techniques': WG V/3 - Terrestrial laser scanning and 3D imaging.
(pp. pp. 115-120).
International Society for Photogrammetry and Remote Sensing (ISPRS): Newcastle-upon-Tyne, UK.
|
Griffiths, D;
Boehm, J;
Ritschel, T;
(2021)
Curiosity-driven 3D Object Detection Without Labels.
In:
2021 International Conference on 3D Vision (3DV).
(pp. pp. 525-534).
IEEE: London, UK.
|
Griffiths, D;
Boehm, J;
(2018)
Rapid object detection systems, utilising deep learning and unmanned aerial systems (UAS) for civil engineering applications.
In:
2018 ISPRS TC II Mid-term Symposium “Towards Photogrammetry 2020”.
(pp. pp. 391-398).
International Society for Photogrammetry and Remote Sensing (ISPRS)
|
Griffiths, D;
Boehm, J;
Ritschel, T;
(2020)
Finding Your (3D) Center: 3D Object Detection Using a Learned Loss.
In:
Computer Vision – ECCV 2020.
(pp. pp. 70-85).
Springer: Cham, Switzerland.
|
Hosseininaveh, A;
Serpico, M;
Robson, S;
Hess, M;
Boehm, J;
Pridden, I;
Amati, G;
(2012)
Automatic Image Selection in Photogrammetric Multi-view Stereo Methods.
In: Arnold, DB and Kaminski, J and Niccolucci, F and Stork, A, (eds.)
VAST.
(pp. 9 - 16).
Eurographics Association
|
Jongwiriyanurak, N;
Zeng, Z;
Wang, M;
Haworth, J;
Tanaksaranond, G;
Boehm, J;
(2023)
Framework for Motorcycle Risk Assessment Using Onboard Panoramic Camera.
In: Beecham, R and Long, JA and Smith, D and Zhao, Q and Wise, S, (eds.)
12th International Conference on Geographic Information Science (GIScience 2023).
(pp. 44:1-44:7).
Schloss Dagstuhl -- Leibniz-Zentrum für Informatik: Dagstuhl, Germany.
|
Liu, K;
Boehm, J;
(2014)
A new framework for interactive segmentation of point clouds.
In: Remondino, F. and Menna, F., (eds.)
ISPRS Technical Commission V Symposium (23–25 June 2014, Riva del Garda, Italy).
(pp. 357- 362).
International Society for Photogrammetry and Remote Sensing
|
Liu, K;
Boehm, J;
Alis, C;
(2016)
Change detection of mobile Lidar data using cloud computing.
In:
Proceedings of the XXIII ISPRS Congress.
(pp. pp. 309-313).
International Society of Photogrammetry and Remote Sensing (ISPRS): Prague, Czech Republic.
|
Ortiz Arteaga, A;
Scott, D;
Boehm, J;
(2019)
INITIAL INVESTIGATION OF A LOW-COST AUTOMOTIVE LIDAR SYSTEM.
In:
ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences.
(pp. pp. 233-240).
Copernicus GmbH
|
Panella, F;
Boehm, J;
Loo, Y;
Kaushik, A;
Gonzalez, D;
(2018)
Deep learning and image processing for automated crack detection and defect measurement in underground structures.
In:
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences.
(pp. pp. 829-835).
ISPRS SC: Riva del Garda, Italy.
|
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.
In:
Proceedings of the 16th World Conference Of the Associated Research Centers for the Urban Underground Space.
(pp. pp. 894-904).
ACCUS
|
Panella, F;
Roecklinger, N;
Vojnovic, L;
Loo, Y;
Boehm, J;
(2020)
Cost-benefit Analysis of Rail Tunnel Inspection for Photogrammetry and Laser Scanning.
In:
International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences - ISPRS Archives.
(pp. pp. 1137-1144).
ISPRS: Online.
|
Pocobelli, DP;
Boehm, J;
Bryan, P;
Still, J;
Grau-Bové, J;
(2018)
Building information models for monitoring and simulation data in heritage buildings.
In:
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences.
(pp. pp. 909-916).
: Riva del Garda, Italy.
|
Thomson, C;
Boehm, J;
(2014)
Indoor modelling benchmark for 3D geometry extraction.
In: Remondino, F and Menna, F, (eds.)
ISPRS Technical Commission V Symposium (Volume XL-5).
(pp. pp. 581-587).
International Society for Photogrammetry and Remote Sensing (ISPRS): Riva del Garda, Italy.
|
Yuen, RZM;
Boehm, Jan;
(2022)
Potential of Consumer-Grade Cameras and Photogrammetric Guidelines for Subsurface Utility Mapping.
In:
7th International Workshop LowCost 3D – Sensors, Algorithms, Applications.
(pp. pp. 243-250).
ISPRS
|
Working / discussion paper
Griffiths, D;
Boehm, J;
(2019)
SynthCity: A large scale synthetic point cloud.
ArXiv: Ithaca, NY, USA.
|
Conference item
Backes, D;
Thomson, C;
Ramirez, C;
Boehm, J;
Robson, S;
(2012)
BIM - the UCL-CEGE Approach.
Presented at: 3D Documentation User Meeting 2012, Zurich.
|
Backes, DJ;
Thomson, C;
Boehm, J;
Robson, S;
(2014)
Chadwick GreenBIM.
Presented at: 3D Documentation User Meeting 2014, Munich, Kloster Andechs.
|
Thesis
Thomson, CPH;
(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 thesis , UCL (University College London).
|