| Sedar-semantic detection and ranging: Humans can localise without lidar, can robots? O Mendez, S Hadfield, N Pugeault, R Bowden 2018 IEEE International Conference on Robotics and Automation (ICRA), 6053-6060, 2018 | 27 | 2018 |
| Next-best stereo: Extending next-best view optimisation for collaborative sensors O Mendes, S Hadfield, N Pugeault, R Bowden British Machine Vision Association, 2016 | 20 | 2016 |
| Taking the Scenic Route to 3D: Optimising Reconstruction From Moving Cameras O Mendez, S Hadfield, N Pugeault, R Bowden Proceedings of the IEEE Conference on Computer Vision (ICCV), 4677-4685, 2017 | 16 | 2017 |
| Enabling spatio-temporal aggregation in Birds-Eye-View Vehicle Estimation A Saha, O Mendez, C Russell, R Bowden 2021 IEEE International Conference on Robotics and Automation (ICRA), 5133-5139, 2021 | 6 | 2021 |
| A robust extrinsic calibration framework for vehicles with unscaled sensors C Walters, O Mendez, S Hadfield, R Bowden IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), 2019 | 5 | 2019 |
| Translating Images into Maps A Saha, OM Maldonado, C Russell, R Bowden arXiv preprint arXiv:2110.00966, 2021 | 4 | 2021 |
| SeDAR: Reading Floorplans Like a Human—Using Deep Learning to Enable Human-Inspired Localisation O Mendez, S Hadfield, N Pugeault, R Bowden International Journal of Computer Vision 128 (5), 1286-1310, 2020 | 4 | 2020 |
| MDN-VO: Estimating Visual Odometry with Confidence N Kaygusuz, O Mendez, R Bowden IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), 2021 | 1 | 2021 |
| Robot in a China Shop: Using Reinforcement Learning for Location-Specific Navigation Behaviour S Bian, Xihan, Mendez, Oscar and Hadfield IEEE International Conference on Robotics and Automation (ICRA), 2021 | 1 | 2021 |
| There and Back Again: Self-supervised Multi-spectral Correspondence Estimation R Walters, Celyn, Mendez, Oscar, Johnson, Mark and Bowden IEEE International Conference on Robotics and Automation (ICRA), 2021 | 1 | 2021 |
| Multi-Camera Sensor Fusion for Visual Odometry using Deep Uncertainty Estimation N Kaygusuz, O Mendez, R Bowden 2021 IEEE International Intelligent Transportation Systems Conference (ITSC …, 2021 | | 2021 |
| Improving Robot Localisation by Ignoring Visual Distraction OM Maldonado, MJ Vowels, R Bowden | | 2021 |
| Improving Robot Localisation by Ignoring Visual Distraction O Mendez, M Vowels, R Bowden IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), 2021 | | 2021 |
| Markov Localisation using Heatmap Regression and Deep Convolutional Odometry R Mendez, Oscar and Bowden IEEE International Conference on Robotics and Automation (ICRA), 2021 | | 2021 |
| Extrinsic sensor calibration systems and methods C Walters, R Bowden, OM Maldonado, S Hadfield US Patent App. 16/676,186, 2020 | | 2020 |
| Localisation via Deep Imagination: learn the features not the map J Spencer, O Mendez, R Bowden, S Hadfield Proceedings of the European Conference on Computer Vision (ECCV) Workshops, 0-0, 2018 | | 2018 |
| Collaborative strategies for autonomous localisation, 3D reconstruction and pathplanning O Mendez Maldonado University of Surrey, 2018 | | 2018 |
Richard BowdenProfessor of Computer Vision and Machine Learning, CVSSP, University of SurreyVerified email at surrey.ac.uk
