A strategy to obtain sets of initial configuration to design freeform reflector surfaces is presented. This strategy brings the initial configuration of the reflector surface using a collection of elemental facets defined by Bezier surfaces and able to face the optimization process of the illumination system.The purpose of this communication is to provide initial configurations to obtain a set of parameters defining the freeform facets described by Bezier curves. Those parameters can be modified by a global optimization process of the lighting system. This task can be accomplished using a set of simple geometric elements that are the basis for calculating a first approximation to the facet surface. The proposed strategy provides a simple geometric design method to perform valid initial configurations for lighting systems with reflective surfaces that can be further optimized.The method to calculate the geometry of every single facet is based on ray tracing and uses a merit function to find the parameters defining the Bezier curve that best meets specifications in each elementary facet.Applying this method to 2D tangential and sagital axes, a network of control points are obtained for describing a Bezier surface compatible with any standard optical optimization tool and suitable for viewing with CAD tools.
The aim of this work is to propose a computer vision system working at video rate for driving supervision. More specifically we will focus on the problem of vehicles running off the road. This artificial vision system is an example of application, the target of which is not the complete automatization of a task performed at present by man; rather it is to help the man performing the task and to improve safety conditions while he is carrying out this task. In spite of the safety precautions already in force in current driving laws, it is obvious that driving at night presents additional problems, due mainly to degradation in perception conditions and weariness compared to driving operation under normal daylight conditions.The system has been designed to make a real time analysis of road images, to determine the position of the white and yellow lines used to mark the road limits and the position of the vehicle relative to these lines.This application uses specifically designed hardware which works at video rate. The architecture is composed of 3 main modules: the first module makes a real time colour segmentation of the yellow lines. The second hardware module is a specific DSP for straight line detection in any direction. The final module includes a specific algorithm that decides if the line markings at the side of the road are in the zone for safe driving.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.
hi@scite.ai
10624 S. Eastern Ave., Ste. A-614
Henderson, NV 89052, USA
Copyright © 2024 scite LLC. All rights reserved.
Made with 💙 for researchers
Part of the Research Solutions Family.