activity
20172022
most citedSparse Pose Graph Optimization in Cycle Space

22 citations · 29 across the 7 of their papers we have counts for

collaborators

14 papers

cs.RO2022

Semantic keypoint extraction for scanned animals using multi-depth-camera systems

Raphael Falque, Teresa Vidal-Calleja, Alen Alempijevic

Keypoint annotation in point clouds is an important task for 3D reconstruction, object tracking and alignment, in particular in deformable or moving scenes. In the context of agric…

cs.RO20221 cited

Continuous Planning for Inertial-Aided Systems

Mitchell Usayiwevu, Fouad Sukkar, Chanyeol Yoo +2

Inertial-aided systems require continuous motion excitation among other reasons to characterize the measurement biases that will enable accurate integration required for localizati…

cs.RO202222 cited

Sparse Pose Graph Optimization in Cycle Space

Fang Bai, Teresa Vidal-Calleja, Giorgio Grisetti

The state-of-the-art modern pose-graph optimization (PGO) systems are vertex based. In this context the number of variables might be high, albeit the number of cycles in the graph…

cs.GR2022

Computational Pattern Making from 3D Garment Models

Nico Pietroni, Corentin Dumery, Raphael Guenot-Falque +3

We propose a method for computing a sewing pattern of a given 3D garment model. Our algorithm segments an input 3D garment shape into patches and computes their 2D parameterization…

cs.RO2020

Active and Interactive Mapping with Dynamic Gaussian Process Implicit Surfaces for Mobile Manipulators

Liyang Liu, Simon Fryc, Lan Wu +3

In this letter, we present an interactive probabilistic mapping framework for a mobile manipulator picking objects from a pile. The aim is to map the scene, actively decide where t…

cs.RO2020

Faithful Euclidean Distance Field from Log-Gaussian Process Implicit Surfaces

Lan Wu, Ki Myung Brian Lee, Liyang Liu +1

In this letter, we introduce the Log-Gaussian Process Implicit Surface (Log-GPIS), a novel continuous and probabilistic mapping representation suitable for surface reconstruction a…