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20182024
most citedReal-time Kinematic Ground Truth for the Oxford RobotCar Dataset

51 citations · 56 across the 8 of their papers we have counts for

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9 papers · 1 filter

cs.RO20242 cited

Watching Grass Grow: Long-term Visual Navigation and Mission Planning for Autonomous Biodiversity Monitoring

Matthew Gadd, Daniele De Martini, Luke Pitt +10

We describe a challenging robotics deployment in a complex ecosystem to monitor a rich plant community. The study site is dominated by dynamic grassland vegetation and is thus visu…

cs.RO20221 cited

Fast-MbyM: Leveraging Translational Invariance of the Fourier Transform for Efficient and Accurate Radar Odometry

Robert Weston, Matthew Gadd, Daniele De Martini +2

Masking By Moving (MByM), provides robust and accurate radar odometry measurements through an exhaustive correlative search across discretised pose candidates. However, this dense…

cs.RO2020

Keep off the Grass: Permissible Driving Routes from Radar with Weak Audio Supervision

David Williams, Daniele De Martini, Matthew Gadd +2

Reliable outdoor deployment of mobile robots requires the robust identification of permissible driving routes in a given environment. The performance of LiDAR and vision-based perc…

cs.RO2020

LiDAR Lateral Localisation Despite Challenging Occlusion from Traffic

Tarlan Suleymanov, Matthew Gadd, Lars Kunze +1

This paper presents a system for improving the robustness of LiDAR lateral localisation systems. This is made possible by including detections of road boundaries which are invisibl…

cs.RO2020

Look Around You: Sequence-based Radar Place Recognition with Learned Rotational Invariance

Matthew Gadd, Daniele De Martini, Paul Newman

This paper details an application which yields significant improvements to the adeptness of place recognition with Frequency-Modulated Continuous-Wave radar - a commercially promis…

cs.RO202051 cited

Real-time Kinematic Ground Truth for the Oxford RobotCar Dataset

Will Maddern, Geoffrey Pascoe, Matthew Gadd +3

We describe the release of reference data towards a challenging long-term localisation and mapping benchmark based on the large-scale Oxford RobotCar Dataset. The release includes…