Will Maddern

According to our database, Will Maddern authored at least 30 papers between 2010 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Exploring Real World Map Change Generalization of Prior-Informed HD Map Prediction Models.

Samuel M. Bateman, Ning Xu, H. Charles Zhao, Yael Ben Shalom, Vince Gong, Greg Long, Will Maddern

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

2022

Long-Term Visual Localization Revisited.

Carl Toft, Will Maddern, Akihiko Torii, Lars Hammarstrand, Erik Stenborg, Daniel Safari, Masatoshi Okutomi, Marc Pollefeys, Josef Sivic, Tomás Pajdla, Fredrik Kahl, Torsten Sattler

IEEE Trans. Pattern Anal. Mach. Intell., 2022

2020

Real-time Kinematic Ground Truth for the Oxford RobotCar Dataset.

Will Maddern, Geoffrey Pascoe, Matthew Gadd, Dan Barnes, Brian Yeomans, Paul Newman

CoRR, 2020

2019

Distant Vehicle Detection Using Radar and Vision.

Simon Chadwick, Will Maddern, Paul Newman

Proceedings of the International Conference on Robotics and Automation, 2019

2018

Adversarial Training for Adverse Conditions: Robust Metric Localisation Using Appearance Transfer.

Horia Porav, Will Maddern, Paul Newman

Proceedings of the 2018 IEEE International Conference on Robotics and Automation, 2018

Mark Yourself: Road Marking Segmentation via Weakly-Supervised Annotations from Multimodal Data.

Tom Bruls, Will Maddern, Akshay A. Morye, Paul Newman

Proceedings of the 2018 IEEE International Conference on Robotics and Automation, 2018

Driven to Distraction: Self-Supervised Distractor Learning for Robust Monocular Visual Odometry in Urban Environments.

Dan Barnes, Will Maddern, Geoffrey Pascoe, Ingmar Posner

Proceedings of the 2018 IEEE International Conference on Robotics and Automation, 2018

Benchmarking 6DOF Outdoor Visual Localization in Changing Conditions.

Torsten Sattler, Will Maddern, Carl Toft, Akihiko Torii, Lars Hammarstrand, Erik Stenborg, Daniel Safari, Masatoshi Okutomi, Marc Pollefeys, Josef Sivic, Fredrik Kahl, Tomás Pajdla

Proceedings of the 2018 IEEE Conference on Computer Vision and Pattern Recognition, 2018

Fast Light Field Disparity Estimation via a Parallel Filtered Cost Volume Approach.

Adam Stacey, Will Maddern, Surya Singh

Proceedings of the Computer Vision - ACCV 2018, 2018

2017

1 year, 1000 km: The Oxford RobotCar dataset.

Will Maddern, Geoffrey Pascoe, Chris Linegar, Paul Newman

Int. J. Robotics Res., 2017

Benchmarking 6DOF Urban Visual Localization in Changing Conditions.

Torsten Sattler, Will Maddern, Akihiko Torii, Josef Sivic, Tomás Pajdla, Marc Pollefeys, Masatoshi Okutomi

CoRR, 2017

Find your own way: Weakly-supervised segmentation of path proposals for urban autonomy.

Dan Barnes, Will Maddern, Ingmar Posner

Proceedings of the 2017 IEEE International Conference on Robotics and Automation, 2017

NID-SLAM: Robust Monocular SLAM Using Normalised Information Distance.

Geoffrey Pascoe, Will Maddern, Michael Tanner, Pedro Pinies, Paul Newman

Proceedings of the 2017 IEEE Conference on Computer Vision and Pattern Recognition, 2017

2016

Real-time probabilistic fusion of sparse 3D LIDAR and dense stereo.

Will Maddern, Paul M. Newman

Proceedings of the 2016 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2016

2015

Exploiting 3D semantic scene priors for online traffic light interpretation.

Dan Barnes, William P. Maddern, Ingmar Posner

Proceedings of the 2015 IEEE Intelligent Vehicles Symposium, 2015

FARLAP: Fast robust localisation using appearance priors.

Geoffrey Pascoe, William P. Maddern, Alexander D. Stewart, Paul Newman

Proceedings of the IEEE International Conference on Robotics and Automation, 2015

Leveraging experience for large-scale LIDAR localisation in changing cities.

William P. Maddern, Geoffrey Pascoe, Paul Newman

Proceedings of the IEEE International Conference on Robotics and Automation, 2015

Direct Visual Localisation and Calibration for Road Vehicles in Changing City Environments.

Geoffrey Pascoe, William P. Maddern, Paul Newman

Proceedings of the 2015 IEEE International Conference on Computer Vision Workshop, 2015

Robust Direct Visual Localisation using Normalised Information Distance.

Geoffrey Pascoe, William P. Maddern, Paul Newman

Proceedings of the British Machine Vision Conference 2015, 2015

2014

LAPS-II: 6-DoF day and night visual localisation with prior 3D structure for autonomous road vehicles.

William P. Maddern, Alexander D. Stewart, Paul Newman

Proceedings of the 2014 IEEE Intelligent Vehicles Symposium Proceedings, 2014

Lighting invariant urban street classification.

Ben Upcroft, Colin McManus, Winston Churchill, William P. Maddern, Paul Newman

Proceedings of the 2014 IEEE International Conference on Robotics and Automation, 2014

Shady dealings: Robust, long-term visual localisation using illumination invariance.

Colin McManus, Winston Churchill, William P. Maddern, Alexander D. Stewart, Paul Newman

Proceedings of the 2014 IEEE International Conference on Robotics and Automation, 2014

2012

CAT-SLAM: probabilistic localisation and mapping using a continuous appearance-based trajectory.

William P. Maddern, Michael Milford, Gordon F. Wyeth

Int. J. Robotics Res., 2012

Towards Persistent Localization and Mapping with a Continuous Appearance-based Topology.

William P. Maddern, Michael Milford, Gordon F. Wyeth

Proceedings of the Robotics: Science and Systems VIII, 2012

Towards persistent indoor appearance-based localization, mapping and navigation using CAT-Graph.

William P. Maddern, Michael Milford, Gordon F. Wyeth

Proceedings of the 2012 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2012

Capping computation time and storage requirements for appearance-based localization with CAT-SLAM.

William P. Maddern, Michael Milford, Gordon F. Wyeth

Proceedings of the IEEE International Conference on Robotics and Automation, 2012

Lost in translation (and rotation): Rapid extrinsic calibration for 2D and 3D LIDARs.

William P. Maddern, Alastair Harrison, Paul Newman

Proceedings of the IEEE International Conference on Robotics and Automation, 2012

OpenFABMAP: An open source toolbox for appearance-based loop closure detection.

Arren Glover, William P. Maddern, Michael Warren, Stephanie Reid, Michael Milford, Gordon F. Wyeth

Proceedings of the IEEE International Conference on Robotics and Automation, 2012

2011

Continuous appearance-based trajectory SLAM.

William P. Maddern, Michael Milford, Gordon F. Wyeth

Proceedings of the IEEE International Conference on Robotics and Automation, 2011

2010

FAB-MAP + RatSLAM: Appearance-based SLAM for multiple times of day.

Arren Glover, William P. Maddern, Michael Milford, Gordon F. Wyeth

Proceedings of the IEEE International Conference on Robotics and Automation, 2010