Search Results for author: Stefano Rosa

Found 14 papers, 6 papers with code

Self-improving object detection via disagreement reconciliation

no code implementations21 Feb 2023 Gianluca Scarpellini, Stefano Rosa, Pietro Morerio, Lorenzo Natale, Alessio Del Bue

Object detectors often experience a drop in performance when new environmental conditions are insufficiently represented in the training data.

Object object-detection +1

Look around and learn: self-improving object detection by exploration

no code implementations7 Feb 2023 Gianluca Scarpellini, Stefano Rosa, Pietro Morerio, Lorenzo Natale, Alessio Del Bue

Object detectors often experience a drop in performance when new environmental conditions are insufficiently represented in the training data.

Object object-detection +1

Learning Selective Sensor Fusion for States Estimation

no code implementations30 Dec 2019 Changhao Chen, Stefano Rosa, Chris Xiaoxuan Lu, Bing Wang, Niki Trigoni, Andrew Markham

By integrating the observations from different sensors, these mobile agents are able to perceive the environment and estimate system states, e. g. locations and orientations.

Autonomous Vehicles Sensor Fusion

See Through Smoke: Robust Indoor Mapping with Low-cost mmWave Radar

1 code implementation1 Nov 2019 Chris Xiaoxuan Lu, Stefano Rosa, Peijun Zhao, Bing Wang, Changhao Chen, John A. Stankovic, Niki Trigoni, Andrew Markham

This paper presents the design, implementation and evaluation of milliMap, a single-chip millimetre wave (mmWave) radar based indoor mapping system targetted towards low-visibility environments to assist in emergency response.

Selective Sensor Fusion for Neural Visual-Inertial Odometry

no code implementations CVPR 2019 Changhao Chen, Stefano Rosa, Yishu Miao, Chris Xiaoxuan Lu, Wei Wu, Andrew Markham, Niki Trigoni

Deep learning approaches for Visual-Inertial Odometry (VIO) have proven successful, but they rarely focus on incorporating robust fusion strategies for dealing with imperfect input sensory data.

Autonomous Driving Sensor Fusion

Neural Allocentric Intuitive Physics Prediction from Real Videos

no code implementations7 Sep 2018 Zhihua Wang, Stefano Rosa, Yishu Miao, Zihang Lai, Linhai Xie, Andrew Markham, Niki Trigoni

In this framework, real images are first converted to a synthetic domain representation that reduces complexity arising from lighting and texture.

3D-PhysNet: Learning the Intuitive Physics of Non-Rigid Object Deformations

1 code implementation25 Apr 2018 Zhihua Wang, Stefano Rosa, Bo Yang, Sen Wang, Niki Trigoni, Andrew Markham

This is further confounded by the fact that shape information about encountered objects in the real world is often impaired by occlusions, noise and missing regions e. g. a robot manipulating an object will only be able to observe a partial view of the entire solid.

Defo-Net: Learning Body Deformation using Generative Adversarial Networks

1 code implementation16 Apr 2018 Zhihua Wang, Stefano Rosa, Linhai Xie, Bo Yang, Sen Wang, Niki Trigoni, Andrew Markham

Modelling the physical properties of everyday objects is a fundamental prerequisite for autonomous robots.

Robotics

Dense 3D Object Reconstruction from a Single Depth View

2 code implementations1 Feb 2018 Bo Yang, Stefano Rosa, Andrew Markham, Niki Trigoni, Hongkai Wen

Unlike existing work which typically requires multiple views of the same object or class labels to recover the full 3D geometry, the proposed 3D-RecGAN++ only takes the voxel grid representation of a depth view of the object as input, and is able to generate the complete 3D occupancy grid with a high resolution of 256^3 by recovering the occluded/missing regions.

3D Object Reconstruction Object

Fast Graph-Based Object Segmentation for RGB-D Images

no code implementations12 May 2016 Giorgio Toscana, Stefano Rosa

We propose a modified Canny edge detector for extracting robust edges by using depth information and two simple cost functions for combining color and depth cues.

Object Robotic Grasping +2

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