The first and fifth authors are on leave from UEM to UNESP at Presidente Prudente-SP-Brazil in a doctorate course).
AbstractA robust and efficient technique to segment shaded areas in aerial color images is presented in this paper. This technique is based on the physical phenomenon of atmospheric dispersion of the sunlight most well known as the Rayleigh scattering effect. This technique does not depend on special algorithms to classify or to form clusters of objects appearing in complex aerial images. In fact, the mathematical model, derived from the physical model is very simple but it produces consistent results and can be applied to color images obtained by airborne and orbital sensors (e.g., Landsat TM and IKONOS).
The 2D point location problem has applications in several areas, such as geographic information systems, navigation systems, motion planning, mapping, military strategy, location and tracking moves. We aim to present a new approach that expands upon current techniques and methods to locate the 2D position of a signal source sent by an emitter device. This new approach is based only on the geometric relationship between an emitter device and a system composed of m≥2 signal receiving devices. Current approaches applied to locate an emitter can be deterministic, statistical or machine-learning methods. We propose to perform this triangulation by geometric models that exploit elements of pole-polar geometry. For this purpose, we are presenting five geometric models to solve the point location problem: (1) based on centroid of points of pole-polar geometry, PPC; (2) based on convex hull region among pole-points, CHC; (3) based on centroid of points obtained by polar-lines intersections, PLI; (4) based on centroid of points obtained by tangent lines intersections, TLI; (5) based on centroid of points obtained by tangent lines intersections with minimal angles, MAI. The first one has computational cost On and whereas has the computational cost Onlognwhere n is the number of points of interest.
In the broader context of smart cities, to ensure mobility of people regardless of their physical or sensory condition becomes a complex and difficult challenge to be treated. All papers referenced in this work are presented as a solution to equip the blind people with devices and sensors (controlled by a computational system) with the ability to capture environmental structure data and somehow describe it to the understanding of the blind people. Our work explores another side of this problem: how the environment can transmit data about itself to safely-help guide blind orientation in this environment? In other words, from our view, the environment must report data on its structure as opposed to make the blind person try to extract these data from this environment. So, here we propose to use an intelligent semaphore system (traffic lights) to communicate with a mobile system carried by the blind person and by the coherent processing of the signals sent and received between the mobile device and the intelligent semaphore, to conduct the blind in the streets crossing the crosswalk safely.
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