| 1 year, 1000 km: The Oxford RobotCar dataset W Maddern, G Pascoe, C Linegar, P Newman The International Journal of Robotics Research 36 (1), 3-15, 2017 | 1194 | 2017 |
| Benchmarking 6dof urban visual localization in changing conditions T Sattler, W Maddern, A Torii, J Sivic, T Pajdla, M Pollefeys, M Okutomi Proc. Computer Vision and Pattern Recognition (CVPR), 2018 | 475* | 2018 |
| FAB-MAP+ RatSLAM: Appearance-based SLAM for multiple times of day AJ Glover, WP Maddern, MJ Milford, GF Wyeth 2010 IEEE international conference on robotics and automation, 3507-3512, 2010 | 255 | 2010 |
| OpenFABMAP: An open source toolbox for appearance-based loop closure detection A Glover, W Maddern, M Warren, S Reid, M Milford, G Wyeth 2012 IEEE international conference on robotics and automation, 4730-4735, 2012 | 220 | 2012 |
| Illumination invariant imaging: Applications in robust vision-based localisation, mapping and classification for autonomous vehicles W Maddern, A Stewart, C McManus, B Upcroft, W Churchill, P Newman Proceedings of the Visual Place Recognition in Changing Environments …, 2014 | 195 | 2014 |
| CAT-SLAM: probabilistic localisation and mapping using a continuous appearance-based trajectory W Maddern, M Milford, G Wyeth The International Journal of Robotics Research 31 (4), 429-451, 2012 | 155 | 2012 |
| Shady dealings: Robust, long-term visual localisation using illumination invariance C McManus, W Churchill, W Maddern, AD Stewart, P Newman 2014 IEEE international conference on robotics and automation (ICRA), 901-906, 2014 | 150 | 2014 |
| Distant vehicle detection using radar and vision S Chadwick, W Maddern, P Newman 2019 International Conference on Robotics and Automation (ICRA), 8311-8317, 2019 | 124 | 2019 |
| Find your own way: Weakly-supervised segmentation of path proposals for urban autonomy D Barnes, W Maddern, I Posner 2017 IEEE International Conference on Robotics and Automation (ICRA), 203-210, 2017 | 116 | 2017 |
| Adversarial training for adverse conditions: Robust metric localisation using appearance transfer H Porav, W Maddern, P Newman 2018 IEEE international conference on robotics and automation (ICRA), 1011-1018, 2018 | 99 | 2018 |
| Real-time probabilistic fusion of sparse 3d lidar and dense stereo W Maddern, P Newman 2016 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2016 | 96 | 2016 |
| Lost in Translation (and Rotation): Rapid Extrinsic Calibration for 2D and 3D LIDARs W Maddern, A Harrison, P Newman IEEE International Conference on Robotics and Automation, 2012 | 91 | 2012 |
| Leveraging experience for large-scale LIDAR localisation in changing cities W Maddern, G Pascoe, P Newman 2015 IEEE International Conference on Robotics and Automation (ICRA), 1684-1691, 2015 | 68 | 2015 |
| Long-term visual localization revisited C Toft, W Maddern, A Torii, L Hammarstrand, E Stenborg, D Safari, ... IEEE Transactions on Pattern Analysis and Machine Intelligence 44 (4), 2074-2088, 2020 | 65 | 2020 |
| Driven to distraction: Self-supervised distractor learning for robust monocular visual odometry in urban environments D Barnes, W Maddern, G Pascoe, I Posner 2018 IEEE International Conference on Robotics and Automation (ICRA), 1894-1900, 2018 | 62 | 2018 |
| Towards robust night and day place recognition using visible and thermal imaging W Maddern, S Vidas Beyond laser and vision: Alternative sensing techniques for robotic …, 2012 | 61 | 2012 |
| NID-SLAM: Robust Monocular SLAM using Normalised Information Distance G Pascoe, W Maddern, M Tanner, P Piniés, P Newman IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2017 | 58 | 2017 |
| Determining extrinsic calibration parameters for a sensor PM Newman, WP Maddern, AR Harrison, MC Sheehan US Patent 9,297,899, 2016 | 56 | 2016 |
| Direct visual localisation and calibration for road vehicles in changing city environments G Pascoe, W Maddern, P Newman Proceedings of the IEEE International Conference on Computer Vision …, 2015 | 50 | 2015 |
| Real-time kinematic ground truth for the oxford robotcar dataset W Maddern, G Pascoe, M Gadd, D Barnes, B Yeomans, P Newman arXiv preprint arXiv:2002.10152, 2020 | 47 | 2020 |
Paul NewmanProfessor University of OxfordVerified email at robots.ox.ac.uk
