41 citations · 120 across the 37 of their papers we have counts for
5 papers · 1 filter
Volumetric Occupancy Mapping With Probabilistic Depth Completion for Robotic Navigation
Marija Popovic, Florian Thomas, Sotiris Papatheodorou +3
In robotic applications, a key requirement for safe and efficient motion planning is the ability to map obstacle-free space in unknown, cluttered 3D environments. However, commodit…
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…
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…
Gaussian Process Gradient Maps for Loop-Closure Detection in Unstructured Planetary Environments
Cedric Le Gentil, Mallikarjuna Vayugundla, Riccardo Giubilato +3
The ability to recognize previously mapped locations is an essential feature for autonomous systems. Unstructured planetary-like environments pose a major challenge to these system…
IDOL: A Framework for IMU-DVS Odometry using Lines
Cedric Le Gentil, Florian Tschopp, Ignacio Alzugaray +3
In this paper, we introduce IDOL, an optimization-based framework for IMU-DVS Odometry using Lines. Event cameras, also called Dynamic Vision Sensors (DVSs), generate highly asynch…