Improving the applicability and performance of multifunctional Remotely Operated Vehicles (ROV) for the inspection, monitoring and survey of underwater environments and manmade installations. This goal will be achieved by developing a novel integrated sensorial system, based on both optical and acoustical data, to support the ROV pilot with an augmented representation of the scene (augmented reality).
LIMA3D -- Low cost
3D imaging and modelling automatic system
(national funding - MIUR, Ministry of University)
The project aims at the development of a low-cost system for the three-dimensional (3D) modeling of scenes and objects starting from the acquisition of real subjects. From analysis and processing of raw data (measured by the sensors), 3D models will be extracted and utilised for different applications. The system will be focused on all the modeling stages, from the sensor design and development, and related image generation (optical and range), to the graphic rendering and synthetic reproduction of the observed objects and scenes. The system, and the specific developed techniques, will be characterised by the versatility of dealing with different types of data (i.e., independence from the specific acquisition sensorial device), and will be devoted to the reconstruction of both single objects (simple or more complex, like, e.g., the human face), and whole scenes.
Fast 2D object detection for automation processes (industrial funding)
Study and design of algorithms for fast 2D object identification, focusing on robustness to occlusions, and invariance to affine transformations.
AUREA -- Augmented Reality for Teleoperation of Free Flying Robots (Italian Space Agency)
The objective of this project is to develop augmented reality technologies that improve supervisory control of remote vehicles for eventual application to on-orbit satellite servicing by free-flying servicing robots.
A video-based augmented reality interface for remote supervisory control of free-flying space robots will be designed. The system will analyze the video image to locate the vehicle and produce a virtual feedback (both visual and acoustical) to augment the real feedback.
Study and design of algorithms for:
1) tracking robustly features in a cluttered
video image sequence;
2) accurate calibration of a stereo
camera, actually extrinsic parameters.
Study and design of a modeling framework for developing Geographical Information Systems capable of handling data at different levels of detail, and of supporting efficient and intelligent data access and manipulation.
Private Area (password required)
Study and design of techniques for interpolation and visualization of very sparse data taken from passive sonobuoys.
Intelligent use and integration of acoustical and optical cameras for generation of a virtual environment aimed at improving the capabilities of underwater remotely operated vehicles.
Intelligent and integrated use of acoustic and optical sensors to recover three-dimensional sea bottom map.
Unmanned Railway Station Surveillance: monitoring and surveillance of unattended railway stations for automatic detection and classification of potentially dangerous objects.
Design of an holographic camera to acquire plankton species in vivo and data processing techniques to classify and localize the three-dimensional structure of the different species.
Detection and classification of objects buried in the sea bottom by parametric sonar data (1D and 2D signals).
Minor contributions in the following projects:
- National Research Council (CNR) project on Transports (Progetto Finalizzato Trasporti 2).
Obstacle Detection and Tracking for Level-Crossing Monitoring: monitoring and surveillance of unattended level-crossing for detection of objects.
- EC-MAST project SNECOW (no. MAST-0029-C/A).
- EUREKA PROMETHEUS.
- EC-ESPRIT DIMUS (P-5345).
More information and other projects in which VIPS lab is involved can found here.
Last Revision: 5 February 2014