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Jacek Komorowski

2 accepted papers

2022

EgoNN: Egocentric Neural Network for Point Cloud Based 6DoF Relocalization at the City Scale

RA-L 2022

The letter presents a deep neural network-based method for global and local descriptors extraction from a point cloud acquired by a rotating 3D LiDAR. The descriptors can be used for two-stage 6DoF relocalization. First, a course position is retrieved by finding candidates with the closest global de

Cited by 51SourcecodeScholar
2022

MinkLoc3D-SI: 3D LiDAR Place Recognition With Sparse Convolutions, Spherical Coordinates, and Intensity

RA-L 2022

The 3D LiDAR place recognition aims to estimate a coarse localization in a previously seen environment based on a single scan from a rotating 3D LiDAR sensor. The existing solutions to this problem include hand-crafted point cloud descriptors (e.g., ScanContext, M2DP, LiDAR IRIS) and deep learning-b

Cited by 46SourcecodeScholar