14 citations · 31 across the 14 of their papers we have counts for
4 papers · 1 filter
TT-SDF2PC: Registration of Point Cloud and Compressed SDF Directly in the Memory-Efficient Tensor Train Domain
Alexey I. Boyko, Anastasiia Kornilova, Rahim Tariverdizadeh +4
This paper addresses the following research question: ``can one compress a detailed 3D representation and use it directly for point cloud registration?''. Map compression of the sc…
Eigen-Factors a Bilevel Optimization for Plane SLAM of 3D Point Clouds
Gonzalo Ferrer, Dmitrii Iarosh, Anastasiia Kornilova
Modern depth sensors can generate a huge number of 3D points in few seconds to be latter processed by Localization and Mapping algorithms. Ideally, these algorithms should handle e…
Open-Source LiDAR Time Synchronization System by Mimicking GNSS-clock
Marsel Faizullin, Anastasiia Kornilova, Gonzalo Ferrer
Data fusion algorithms that employ LiDAR measurements, such as Visual-LiDAR, LiDAR-Inertial, or Multiple LiDAR Odometry and simultaneous localization and mapping (SLAM) rely on pre…
Be your own Benchmark: No-Reference Trajectory Metric on Registered Point Clouds
Anastasiia Kornilova, Gonzalo Ferrer
This paper addresses the problem of assessing trajectory quality in conditions when no ground truth poses are available or when their accuracy is not enough for the specific task -…