6 accepted papers
Direct Visual Servoing (DVS) is a technique that controls the robot motion by using the pixel intensities captured by a camera. DVS demonstrates high accuracy at convergence, prompting the development of various methods aimed at expanding its convergence domain.In this paper, we propose a mathematic…
In this letter, we propose a novel dense 3D image alignment algorithm that estimates the Euclidean transformation between pairs of camera poses from pixel intensities. The novelty consists in the automatic scale adaptation within each level of a multi-resolution image pyramid, using the scale-space
This paper presents the design method to optically extend the perceptible dynamic range of panoramic vision for robotics. The large range of scene radiance is captured in real-time by a combination of paraboloidal mirrors, a telecentric lens and neutral density filters. The first prototype made of 4
In this paper, we propose a novel cluster-based Next-Best-View path planning algorithm to simultaneously explore and inspect large-scale unknown environments with multiple Unmanned Aerial Vehicles (UAVs). In the majority of existing informative path-planning methods, a volumetric criterion is used f…
In this paper, we present a new automatic camera control to achieve a relevant information framing. This camera control will be performed using a visual servoing framework in order to reach a salient area in a plane and in space. The relevant framing will be modelled by maximizing the saliency-based…
The advantages of using the entire photometric image information as visual feature are: it does not require any feature detections, matching or tracking process. To enlarge the convergence domain, we propose to accomplish visual servoing based on the analytical formulation of Gaussian mixtures to mo…