11 citations · 16 across the 21 of their papers we have counts for
4 papers · 1 filter
BoxGraph: Semantic Place Recognition and Pose Estimation from 3D LiDAR
Georgi Pramatarov, Daniele De Martini, Matthew Gadd +1
This paper is about extremely robust and lightweight localisation using LiDAR point clouds based on instance segmentation and graph matching. We model 3D point clouds as fully-conn…
What Goes Around: Leveraging a Constant-curvature Motion Constraint in Radar Odometry
Roberto Aldera, Matthew Gadd, Daniele De Martini +1
This paper presents a method that leverages vehicle motion constraints to refine data associations in a point-based radar odometry system. By using the strong prior on how a non-ho…
Depth-SIMS: Semi-Parametric Image and Depth Synthesis
Valentina Musat, Daniele De Martini, Matthew Gadd +1
In this paper we present a compositing image synthesis method that generates RGB canvases with well aligned segmentation maps and sparse depth maps, coupled with an in-painting net…
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…