| Supporting search and rescue operations with UAVs S Waharte, N Trigoni 2010 International Conference on Emerging Security Technologies, 142-147, 2010 | 421 | 2010 |
| Deepvo: Towards end-to-end visual odometry with deep recurrent convolutional neural networks S Wang, R Clark, H Wen, N Trigoni 2017 IEEE International Conference on Robotics and Automation (ICRA), 2043-2050, 2017 | 352 | 2017 |
| Delay-bounded routing in vehicular ad-hoc networks A Skordylis, N Trigoni Proceedings of the 9th ACM international symposium on Mobile ad hoc …, 2008 | 223 | 2008 |
| 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 | 207 | 2010 |
| Multi-query optimization for sensor networks N Trigoni, Y Yao, A Demers, J Gehrke, R Rajaraman International Conference on Distributed Computing in Sensor Systems, 307-321, 2005 | 202 | 2005 |
| 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 | 181 | 2017 |
| The cougar project: a work-in-progress report A Demers, J Gehrke, R Rajaraman, N Trigoni, Y Yao ACM Sigmod Record 32 (4), 53-59, 2003 | 176 | 2003 |
| 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 | 156 | 2017 |
| 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 | 152 | 2014 |
| 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 | 151 | 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 | 145 | 2014 |
| 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 | 120 | 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 | 113 | 2017 |
| Coordinated search with a swarm of UAVs S Waharte, N Trigoni, S Julier 2009 6th IEEE annual communications society conference on sensor, mesh and …, 2009 | 103 | 2009 |
| End-to-end, sequence-to-sequence probabilistic visual odometry through deep neural networks S Wang, R Clark, H Wen, N Trigoni The International Journal of Robotics Research 37 (4-5), 513-542, 2018 | 101 | 2018 |
| 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 | 91 | 2020 |
| 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 | 84 | 2012 |
| Towards monocular vision based obstacle avoidance through deep reinforcement learning L Xie, S Wang, A Markham, N Trigoni arXiv preprint arXiv:1706.09829, 2017 | 82 | 2017 |
| Magneto-inductive networked rescue system (miners) taking sensor networks underground A Markham, N Trigoni Proceedings of the 11th international conference on Information Processing …, 2012 | 81 | 2012 |
| Wavescheduling: Energy-efficient data dissemination for sensor networks N Trigoni, Y Yao, A Demers, J Gehrke, R Rajaraman Proceeedings of the 1st international workshop on Data management for sensor …, 2004 | 79 | 2004 |
