| Accuracy and resolution of kinect depth data for indoor mapping applications K Khoshelham, SO Elberink sensors 12 (2), 1437-1454, 2012 | 2262 | 2012 |
| Accuracy analysis of kinect depth data K Khoshelham ISPRS Workshop on Laser Scanning, 29-31 August 2011, Calgary, Canada, 133-138, 2011 | 735 | 2011 |
| Indoor Localization Improved by Spatial Context-A Survey F GU, X HU, M RAMEZANI, D ACHARYA, K KHOSHELHAM, S VALAEE, ... ACM Computing Surveys (CSUR) 52 (3), 64, 2019 | 148 | 2019 |
| Performance evaluation of automated approaches to building detection in multi-source aerial data K Khoshelham, C Nardinocchi, E Frontoni, A Mancini, P Zingaretti ISPRS Journal of Photogrammetry and Remote Sensing 65 (1), 123-133, 2010 | 148 | 2010 |
| Effect of slope on treetop detection using a LiDAR Canopy Height Model A Khosravipour, AK Skidmore, T Wang, M Isenburg, K Khoshelham ISPRS journal of photogrammetry and remote sensing 104, 44-52, 2015 | 126 | 2015 |
| Extending generalized hough transform to detect 3d objects in laser range data K Khoshelham ISPRS Workshop on Laser Scanning 2007 and SilviLaser 2007, Espoo, September …, 2007 | 113 | 2007 |
| Accurate step length estimation for pedestrian dead reckoning localization using stacked autoencoders F Gu, K Khoshelham, C Yu, J Shang IEEE Transactions on Instrumentation and Measurement 68 (8), 2705-2713, 2018 | 101 | 2018 |
| Locomotion activity recognition using stacked denoising autoencoders F Gu, K Khoshelham, S Valaee, J Shang, R Zhang IEEE Internet of Things Journal 5 (3), 2085-2093, 2018 | 96 | 2018 |
| 3D modeling of building indoor spaces and closed doors from imagery and point clouds L Díaz-Vilariño, K Khoshelham, J Martínez-Sánchez, P Arias Sensors 15 (2), 3491-3512, 2015 | 95 | 2015 |
| Robust and accurate smartphone-based step counting for indoor localization F Gu, K Khoshelham, J Shang, F Yu, Z Wei IEEE Sensors Journal 17 (11), 3453-3460, 2017 | 92 | 2017 |
| Assessment of relative accuracy of AHN-2 laser scanning data using planar features C Sande, S Soudarissanane, K Khoshelham Sensors 10 (9), 8198-8214, 2010 | 90 | 2010 |
| Real-time image-based parking occupancy detection using deep learning D Acharya, W Yan, K Khoshelham Proceedings of Research@Locate18, 9-11 April 2018, Adelaide, Australia 2087 …, 2018 | 89 | 2018 |
| The ISPRS Benchmark on Indoor Modelling K Khoshelham, LD Vilariño, M Peter, Z Kang, D Acharya International Archives of the Photogrammetry, Remote Sensing & Spatial …, 2017 | 86 | 2017 |
| 3D modeling of interior spaces: Learning the language of indoor architecture K Khoshelham, L Díaz-Vilariño Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XL-5, 321-326, 2014 | 84 | 2014 |
| Evaluation of a LIDAR Land-Based Mobile Mapping System for Monitoring Sandy Coasts M Bitenc, R Lindenbergh, K Khoshelham, AP Van Waarden Remote Sensing 3 (7), 1472-1491, 2011 | 79 | 2011 |
| BIM-PoseNet: Indoor camera localisation using a 3D indoor model and deep learning from synthetic images D Acharya, K Khoshelham, S Winter ISPRS journal of photogrammetry and remote sensing 150, 245-258, 2019 | 77 | 2019 |
| Shape Grammar Approach to 3D Modeling of Indoor Environments Using Point Clouds H Tran, K Khoshelham, A Kealy, L Díaz-Vilariño Journal of Computing in Civil Engineering 33 (1), 04018055, 2019 | 68 | 2019 |
| Real-time monitoring of construction sites: Sensors, methods, and applications AS Rao, M Radanovic, Y Liu, S Hu, Y Fang, K Khoshelham, ... Automation in Construction 136, 104099, 2022 | 65 | 2022 |
| Rail track detection and modelling in mobile laser scanner data SO Elberink, K Khoshelham, M Arastounia, DD Benito ISPRS Ann. Photogram. Remote Sens. Spatial Inform. Sci., II (5–W2), 223-228, 2013 | 62* | 2013 |
| Efficient and Accurate Registration of Point Clouds with Plane to Plane Correspondences W Förstner, K Khoshelham IEEE International Conference on Computer Vision Workshops, ICCVW 2017, 2017 | 58 | 2017 |
Debaditya AcharyaLecturer at RMIT UniversityVerified email at rmit.edu.au
