no code implementations • 7 Mar 2024 • Georgi Pramatarov, Matthew Gadd, Paul Newman, Daniele De Martini
This paper is about 3D pose estimation on LiDAR scans with extremely minimal storage requirements to enable scalable mapping and localisation.
1 code implementation • 7 Aug 2023 • Efimia Panagiotaki, Daniele De Martini, Georgi Pramatarov, Matthew Gadd, Lars Kunze
This paper proposes a Graph Neural Network(GNN)-based method for exploiting semantics and local geometry to guide the identification of reliable pointcloud registration candidates.
no code implementations • 30 Jun 2022 • Georgi Pramatarov, Daniele De Martini, Matthew Gadd, Paul Newman
This paper is about extremely robust and lightweight localisation using LiDAR point clouds based on instance segmentation and graph matching.