Dan Barnes

According to our database, Dan Barnes authored at least 9 papers between 2015 and 2020.

Collaborative distances:

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

2020

RSL-Net: Localising in Satellite Images From a Radar on the Ground.

Tim Yuqing Tang, Daniele De Martini, Dan Barnes, Paul Newman

IEEE Robotics Autom. Lett., 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

Kidnapped Radar: Topological Radar Localisation using Rotationally-Invariant Metric Learning.

Stefan Saftescu, Matthew Gadd, Daniele De Martini, Dan Barnes, Paul Newman

Proceedings of the 2020 IEEE International Conference on Robotics and Automation, 2020

Under the Radar: Learning to Predict Robust Keypoints for Odometry Estimation and Metric Localisation in Radar.

Dan Barnes, Ingmar Posner

Proceedings of the 2020 IEEE International Conference on Robotics and Automation, 2020

The Oxford Radar RobotCar Dataset: A Radar Extension to the Oxford RobotCar Dataset.

Dan Barnes, Matthew Gadd, Paul Murcutt, Paul Newman, Ingmar Posner

Proceedings of the 2020 IEEE International Conference on Robotics and Automation, 2020

2019

Masking by Moving: Learning Distraction-Free Radar Odometry from Pose Information.

Dan Barnes, Rob Weston, Ingmar Posner

Proceedings of the 3rd Annual Conference on Robot Learning, 2019

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

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

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