Obtaining the Data for Formation of 3D Road Scene from the Radar Data

A. V. Averin, I. A. Kostin, N. V. Panokin
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Abstract

This paper considers the problems of designing of technical vision systems based on millimeter radar technology. The architecture of the software for simulating the millimeter radar operation using mathematical models that simulate various objects of the road scene is considered. 3D road scenes of various configurations, taking into account the impact of the underlying surface have been studied. The possibility to classify the road obstacles and mobile agents of the road scene has been shown by analyzing the radar data from a car radar. The architecture of a neural network classifier that solves the problem of classification of road objects have been proposed.
从雷达数据中获取形成三维道路场景的数据
本文研究了基于毫米波雷达技术的技术视觉系统设计问题。考虑了利用数学模型模拟道路场景中各种目标的毫米波雷达工作的软件体系结构。研究了考虑下垫面影响的各种配置的三维道路场景。通过分析汽车雷达的雷达数据,证明了道路障碍物和道路场景移动主体分类的可能性。提出了一种解决道路物体分类问题的神经网络分类器体系结构。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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