| A realistic evaluation and comparison of indoor location technologies: experiences and lessons learned D Lymberopoulos IPSN 2015, 2015 | 358 | 2015 |
| Evolution and sustainability of a wildlife monitoring sensor network V Dyo, SA Ellwood, DW Macdonald, A Markham, C Mascolo, B Pásztor, ... Proceedings of the 8th ACM Conference on Embedded Networked Sensor Systems …, 2010 | 211 | 2010 |
| Vinet: Visual-inertial odometry as a sequence-to-sequence learning problem R Clark, S Wang, H Wen, A Markham, N Trigoni Proceedings of the AAAI Conference on Artificial Intelligence 31 (1), 2017 | 192 | 2017 |
| Vidloc: A deep spatio-temporal model for 6-dof video-clip relocalization R Clark, S Wang, A Markham, N Trigoni, H Wen Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2017 | 176 | 2017 |
| Does BTLE measure up against WiFi? A comparison of indoor location performance X Zhao, Z Xiao, A Markham, N Trigoni, Y Ren European Wireless 2014; 20th European Wireless Conference, 1-6, 2014 | 158 | 2014 |
| Lightweight map matching for indoor localisation using conditional random fields Z Xiao, H Wen, A Markham, N Trigoni IPSN-14 proceedings of the 13th international symposium on information …, 2014 | 156 | 2014 |
| Non-line-of-sight identification and mitigation using received signal strength Z Xiao, H Wen, A Markham, N Trigoni, P Blunsom, J Frolik IEEE Transactions on Wireless Communications 14 (3), 1689-1702, 2014 | 152 | 2014 |
| Randla-net: Efficient semantic segmentation of large-scale point clouds Q Hu, B Yang, L Xie, S Rosa, Y Guo, Z Wang, N Trigoni, A Markham Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2020 | 148 | 2020 |
| Visual SLAM and structure from motion in dynamic environments: A survey MRU Saputra, A Markham, N Trigoni ACM Computing Surveys (CSUR) 51 (2), 1-36, 2018 | 133 | 2018 |
| 3d object reconstruction from a single depth view with adversarial learning B Yang, H Wen, S Wang, R Clark, A Markham, N Trigoni Proceedings of the IEEE International Conference on Computer Vision …, 2017 | 124 | 2017 |
| Towards monocular vision based obstacle avoidance through deep reinforcement learning L Xie, S Wang, A Markham, N Trigoni arXiv preprint arXiv:1706.09829, 2017 | 94 | 2017 |
| WILDSENSING: Design and deployment of a sustainable sensor network for wildlife monitoring V Dyo, SA Ellwood, DW Macdonald, A Markham, N Trigoni, R Wohlers, ... ACM Transactions on Sensor Networks (TOSN) 8 (4), 1-33, 2012 | 90 | 2012 |
| Ionet: Learning to cure the curse of drift in inertial odometry C Chen, X Lu, A Markham, N Trigoni Proceedings of the AAAI Conference on Artificial Intelligence 32 (1), 2018 | 86 | 2018 |
| Magneto-inductive networked rescue system (miners) taking sensor networks underground A Markham, N Trigoni Proceedings of the 11th international conference on Information Processing …, 2012 | 84 | 2012 |
| Underground localization in 3-D using magneto-inductive tracking A Markham, N Trigoni, DW Macdonald, SA Ellwood IEEE Sensors Journal 12 (6), 1809-1816, 2011 | 73 | 2011 |
| Learning object bounding boxes for 3d instance segmentation on point clouds B Yang, J Wang, R Clark, Q Hu, S Wang, A Markham, N Trigoni arXiv preprint arXiv:1906.01140, 2019 | 71 | 2019 |
| Revealing the hidden lives of underground animals using magneto-inductive tracking A Markham, N Trigoni, SA Ellwood, DW Macdonald Proceedings of the 8th ACM conference on embedded networked sensor systems …, 2010 | 68 | 2010 |
| Robust pedestrian dead reckoning (R-PDR) for arbitrary mobile device placement Z Xiao, H Wen, A Markham, N Trigoni 2014 International Conference on Indoor Positioning and Indoor Navigation …, 2014 | 65 | 2014 |
| GANVO: Unsupervised deep monocular visual odometry and depth estimation with generative adversarial networks Y Almalioglu, MRU Saputra, PPB de Gusmao, A Markham, N Trigoni 2019 International conference on robotics and automation (ICRA), 5474-5480, 2019 | 63 | 2019 |
| Dense 3D object reconstruction from a single depth view B Yang, S Rosa, A Markham, N Trigoni, H Wen IEEE transactions on pattern analysis and machine intelligence 41 (12), 2820 …, 2018 | 52 | 2018 |
