| A method of state estimation for underwater vehicle navigation around a cylindrical structure T Zhang, S Huang, D Liu, L Shi, C Zhou, R Xiong 2016 IEEE 11th Conference on Industrial Electronics and Applications (ICIEA …, 2016 | 5 | 2016 |
| A semantic labeling strategy to reject unknown objects in large scale 3D point clouds H Ma, L Shi, S Kodagoda, R Xiong 2016 35th Chinese Control Conference (CCC), 7070-7075, 2016 | 4 | 2016 |
| Accurate and real-time 3-D tracking for the following robots by fusing vision and ultrasonar information M Wang, Y Liu, D Su, Y Liao, L Shi, J Xu, JV Miro IEEE/ASME Transactions on Mechatronics 23 (3), 997-1006, 2018 | 61 | 2018 |
| Aiming for the Holy Grail: Pipe Condition Assessment Along Critical Mains from Limited Inspections J Valls Miro, L Shi Utility Magazine, 2016 | | 2016 |
| Application of CRF and SVM based semi-supervised learning for semantic labeling of environments L Shi, R Khushaba, S Kodagoda, G Dissanayake 2012 12th International Conference on Control Automation Robotics & Vision …, 2012 | 8 | 2012 |
| Application of semi-supervised learning with Voronoi Graph for place classification L Shi, S Kodagoda, G Dissanayake Intelligent Robots and Systems (IROS), 2012 IEEE/RSJ International …, 2012 | 16 | 2012 |
| Constrained sampling of 2.5 D probabilistic maps for augmented inference L Shi, JV Miro, T Zhang, T Vidal-Calleja, L Sun, G Dissanayake 2016 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2016 | 3 | 2016 |
| Environment Classification and Semantic Grid Map Building Based on Laser Range Finder Data L Shi, S Kodagoda, G Dissanayake SPME, 2010 | 6 | 2010 |
| Exact-likelihood User Intention Estimation for Scene-compliant Shared-control Navigation K Katuwandeniya, SH Kiss, L Shi, JV Miro 2022 International Conference on Robotics and Automation (ICRA), 6437-6443, 2022 | 3 | 2022 |
| Fast indoor scene classification using 3D point clouds L Shi, S Kodagoda, R Ranasinghe Proceedings of Australasian Conference on Robotics and Automation, 2011 | 16 | 2011 |
| Gaussian Mixture Marginal Distributions for Modelling Remaining Metallic Pipe Wall Thickness L Nguyen, JV Miro, L Shi, T Vidal-Calleja 2019 IEEE International Conference on Cybernetics and Intelligent Systems …, 2019 | 4 | 2019 |
| Gaussian Mixture Marginal Distributions for Modelling Remaining Pipe Wall Thickness of Critical Water Mains in Non-Destructive Evaluation L Nguyen, JV Miro, L Shi, T Vidal-Calleja arXiv preprint arXiv:1907.01184, 2019 | 1 | 2019 |
| Gaussian process model enabled particle filter for device-free localization B Song, H Wang, W Xiao, S Huang, L Shi 2017 20th International Conference on Information Fusion (Fusion), 1-6, 2017 | 4 | 2017 |
| HIGH PRECISION GPS AIDED IN-PIPE DISTANCE CALIBRATION FOR SATELLITE IMAGE-BASED PIPELINE MAPPING L Shi, JV Miro, J Rajalingam, R Wood, D Vitanage Australian Water Association Convention – Ozwater, 2016 | 1 | 2016 |
| Indoor Place Classification for Intelligent Mobile Systems L Shi University of Technology, Sydney, 2013 | | 2013 |
| Innovative Data-driven “along-the-pipe” Condition Assessment for Critical Water Mains L Shi, J Valls Miro, T Vidal Calleja, D Vitanage, J Rajalingam OZWATER’17 Australia’s International Water Conference & Exhibition, 2017 | 1 | 2017 |
| Intention Modelling with Normalizing Flows for User-centric Collaborative Navigation K Katuwandeniya, SH Kiss, L Shi, JV Miro | | |
| Intention Modelling with Normalizing Flows for User-centric Collaborative Navigation K Katuwandeniya, SH Kiss, L Shi, J Valls Miro Australasian Conference on Robotics and Automation, 2021 | 2 | 2021 |
| Kernel-Specific Gaussian Process for Predicting Pipe Wall Thickness Maps L Shi, L Sun, T Vidal-Calleja, JV Miro Australasian Conf. Robotics and Automation (ACRA), 2015 | 8 | 2015 |
| Laser range data based semantic labeling of places L Shi, S Kodagoda, G Dissanayake 2010 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2010 | 45 | 2010 |
Professor Sarath KodagodaUniversity of Technology, SydneyVerified email at uts.edu.au