This paper proposes a GNN-based method for exploiting semantics and loca...
This work proposes a fast deployment pipeline for visually-servoed robot...
Localisation with Frequency-Modulated Continuous-Wave (FMCW) radar has g...
Selecting appropriate datasets is critical in modern computer vision.
Ho...
This paper is about extremely robust and lightweight localisation using ...
This paper presents a method that leverages vehicle motion constraints t...
In this paper we present a compositing image synthesis method that gener...
Masking By Moving (MByM), provides robust and accurate radar odometry
me...
We learn, in an unsupervised way, an embedding from sequences of radar i...
In this paper we present the Oxford Road Boundaries Dataset, designed fo...
We learn, in an unsupervised way, an embedding from sequences of radar i...
In this work, we train a network to simultaneously perform segmentation ...
Reliable outdoor deployment of mobile robots requires the robust
identif...
This paper discusses ongoing work in demonstrating research in mobile
au...
This paper presents an efficient annotation procedure and an application...
This paper presents a system for improving the robustness of LiDAR later...
This paper details an application which yields significant improvements ...
We describe the release of reference data towards a challenging long-ter...
This paper presents a system for robust, large-scale topological localis...
In this paper we present The Oxford Radar RobotCar Dataset, a new datase...
This paper presents a mercantile framework for the decentralised sharing...