Vision-Based Road Detection in Automotive Systems: A Real-Time Expectation-Driven Approach

The main aim of this work is the development of a vision-based road detection system fast enough to cope with the difficult real-time constraints imposed by moving vehicle applications. The hardware platform, a special-purpose massively parallel system, has been chosen to minimize system production and operational costs. This paper presents a novel approach to expectation-driven low-level image segmentation, which can be mapped naturally onto mesh-connected massively parallel SIMD architectures capable of handling hierarchical data structures. The input image is assumed to contain a distorted version of a given template; a multiresolution stretching process is used to reshape the original template in accordance with the acquired image content, minimizing a potential function. The distorted template is the process output.Comment: See http://www.jair.org/ for any accompanying file

Energy Deposition in the Triplet and TAS Issues

Energy and power deposition in the low-beta insertion magnets may be the limiting factor in the choiche and/or performance for luminosity upgrade configuration for LHC. In this paper, after a general review of the problem about the type and properties of the secondary particles, the effect of the Target Secondary Absorber (TAS), for different distance l* of the insertion from the Interaction Point (I.P.) in various configurations is reported. Then the effect of the magnetic sequence of the quadrupoles for the two crossing plane, horizontal and vertical (H,V) is evaluated. Moreover the effect of the magnetic field of the solenoid is computed. All theese parametric studies tend to have a scaling law of the energy deposition in the insertion magnets vs. all the parametrs involved