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Andrea Romanoni

7 accepted papers

2020

A Differentiable Recurrent Surface for Asynchronous Event-Based Data

ECCV 2020poster

Dynamic Vision Sensors (DVSs) asynchronously stream events in correspondence of pixels subject to brightness changes. Differently from classic vision devices, they produce a sparse representation of the scene. Therefore, to apply standard computer vision algorithms, events need to be integrated into…

Cited by 138SourcePDFScholar
2019

Dense 3D Visual Mapping via Semantic Simplification

ICRA 2019poster

Dense 3D visual mapping estimates as many as possible pixel depths, for each image. This results in very dense point clouds that often contain redundant and noisy information, especially for surfaces that are roughly planar, for instance, the ground or the walls in the scene. In this paper we levera…

Cited by 8SourceScholar
2016

Robust moving objects detection in lidar data exploiting visual cues

IROS 2016poster

Detecting moving objects in dynamic scenes from sequences of lidar scans is an important task in object tracking, mapping, localization, and navigation. Many works focus on changes detection in previously observed scenes, while a very limited amount of literature addresses moving objects detection.…

Cited by 56SourceScholar
2015

Incremental reconstruction of urban environments by Edge-Points Delaunay triangulation

IROS 2015poster

Urban reconstruction from a video captured by a surveying vehicle constitutes a core module of automated mapping. When computational power represents a limited resource and, a detailed map is not the primary goal, the reconstruction can be performed incrementally, from a monocular video, carving a 3…

Cited by 38SourceScholar