64 research outputs found
HIPERCLASS: High performance industrial inspection and defect classification in steel industry
No full textHIPERCLASS is a project of the European ESPRIT Special Action named CAPRI. This Special Action is aimed at the diffusion of the Parallel Computing among the italian industries. In such environment, the project HIPERCLASS is directed to the porting of the image treatment and defect classification of a surface inspection pilot system for steel rolled strip developed by CSM, from the hardwired implementation to the software environment of the Quadrics parallel supercomputer. The resulting SW implementation offers both performance and a large flexibility of the system as compared to the dedicated electronic circuitry. The prototype developed on this supercomputer is able to sustain a data rate around 15 Mpixel/s, performing the image processing, the defect detection and the defect neural classification. © 1997 Springer-Verlag Berlin Heidelberg
Phase difference stereo disparity computation on a SIMD parallel machine
No full textA parallel version of the phase-based algorithm for disparity estimation in stereo image pairs for the reconstruction of the third dimension is presented. The algorithm is implemented on the Quadrics massively parallel SIMD machine. An analysis of performance as a function of image size and processors number is given. The obtained processing times are compared with two other HW architectures both sequential and parallel. © 1997 Springer-Verlag Berlin Heidelberg
Traffic Request Generation through a Variational Auto Encoder Approach
No full textTraffic and transportation forecasting is a key issue in urban planning aimed to provide a greener and more sustainable environment to residents. Their privacy is a second key issue that requires synthetic travel data. A possible solution is offered by generative models. Here, a variational autoencoder architecture has been trained on a floating car dataset in order to grasp the statistical features of the traffic demand in the city of Rome. The architecture is based on multilayer dense neural networks for encoding and decoding parts. A brief analysis of parameter influence is conducted. The generated trajectories are compared with those in the dataset. The resulting reconstructed synthetic data are employed to compute the traffic fluxes and geographic distribution of parked cars. Further work directions are provided
Sistema sperimentale per l'utilizzo di sonar subacquei
No full textViene descritto un sistema sperimentale composto da due diversi sonar, da una scheda di controllo e da un autopilota, utilizzabile per misurazioni subacquee di distanza. Viene descritta la procedura per l’utilizzo del sistema e si mostrano alcuni risultati sperimentali in acque confinate ed in acque libere.An experimental system composed of two different sonars, of a control board and an autopilot is described. The device can be employed for the measurement of distances in underwater environments. The procedure for the use of the device is presented and some experimental results in open and closed waters are shown
Swarm Underwater Acoustic 3D Localization: Kalman vs Monte Carlo
No full textTwo three-dimensional localization algorithms for a swarm of underwater vehicles are presented. The first is grounded on an extended Kalman filter (EKF) scheme used to fuse some proprioceptive data such as the vessel's speed and some exteroceptive measurements such as the time of flight (TOF) sonar distance of the companion vessels. The second is a Monte Carlo particle filter localization processing the same sensory data suite. The results of several simulations using the two approaches are presented, with comparison. The case of a supporting surface vessel is also considered. An analysis of the robustness of the two approaches against some system parameters is given
A Mobile Small Sized Device for Air Pollutants Monitoring Connected to the Smart Road: Preliminary Results
No full textThe work in progress on a small sized air pollution monitoring system mountable on board urban vehicles is described. The system exchanges data exploiting a “Smart Road” infrastructure with a central computing facility, the Smart City Platform, a GIS-based Decision Support System designed to perform real time monitoring and interpolation of data with the aim of possibly issuing alarms with respect to different town areas. Early experimental data gathering in the Rome urban area and subsequent spline interpolation processing are presented. Thus, air pollutants distribution maps have been produced. Finally, protocols for data exchange have been designed. Work is in progress on algorithms for data fusion among different monitoring systems and interpolation of data for a geographically denser map
A CNN-based passive optical range finder for real time robotic applications
No full textThe paper presents a new CNN for real-time stereo vision, useful as a passive optical range finder for autonomous robots and vehicles. The stereo matching as energy minimization is discussed and former neural approaches to the problem are analyzed. Experimental results with the new CNN both with synthetic and real images are reported, demonstrating the performance of the system
A CNN-based passive optical range finder for real-time robotic applications
No full textThe paper presents a new cellular neural network cellular neural network (CNN) for real-time stereo vision, useful as a passive optical range finder for autonomous robots and vehicles. The stereo matching as energy minimization is discussed, and former neural approaches to the problem are analyzed. Experimental results with the new CNN both with synthetic and real images are reported, demonstrating the performance of the system
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