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Variable-Sensitivity Road Departure Warning System based on Static, Mapped, Near-Road Threats

机译:基于静态,映射,近道威胁的可变灵敏度道路出发警示系统

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The severity of a road departure event strongly depends on the features around the roadway: trees and other "hard" fixed objects represent a severe collision hazard, steep slopes nearby may be representing rollover threats or frontal impact hazards, and sharp road-edge drop-offs may exist that prevent high-speed road recovery. But the near-road area may also contain traversable shoulders and medians, such that a road departure can be a fully safe and recoverable event. This paper presents a simulated road departure warning system, sensitive to severity of hazards based on near-road terrain geometry analysis and subsequent threat assessment. To serve as a demonstration, many random 3D models of a highway road and near-road features following AASHTO guidelines were generated. Near-road features were subdivided into three categories corresponding to high, medium or low severity based on their geometries. We assume that geometric parameters of features used in this study are available from pre-processed LIDAR or other map data. Due to unavailability of threat correlation between different types of features, a relative threat index defined as Normalized Average Severity index is used to determine threats associated with a feature. To simulate a driver-warning system, geometries and hazards were tagged with different colors on the generated 3D model. The 3D model is designed to serve as an additional visual warning system for the driver providing information about risk zones nearby the present vehicle position.
机译:道路离开事件的严重程度强烈取决于巷道周围的特征:树木和其他“硬”固定物品代表着严重的碰撞危险,附近的陡坡可能代表翻转威胁或正面影响危险,以及锋利的路线下降 - 可能存在防止高速道路恢复的折扣。但近地区也可能包含可遍历的肩部和中位数,使得道路出发可以是一个完全安全和可收回的事件。本文介绍了一种模拟道路出发警示系统,敏感的危险严重程度,基于近道地形几何分析和随后的威胁评估。为了作为演示,生成了艾什图文指南之后的高速公路道路和近道特征的许多随机3D模型。近距离特征细分为基于其几何形状对应于高,中或低严重程度的三类。我们假设本研究中使用的功能的几何参数可从预处理的LIDAR或其他地图数据中获得。由于不同类型的特征之间的威胁相关性的不可用,所定义为归一化平均严重性索引的相对威胁索引用于确定与特征相关联的威胁。为了模拟驱动程序警告系统,几何和危险被标记为在生成的3D模型上以不同的颜色标记。 3D模型旨在作为驾驶员的额外视觉警告系统,提供有关当前车辆位置附近的风险区域的信息。

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