• 主题
高级搜索  >
历史搜索 清空历史
首页> 外文会议>World congress and exhibition on intelligent transport systems and services;ITS world congress >PROGRESS WITH SITUATION ASSESSMENT AND RISK PREDICTION IN ADVANCED DRIVER ASSISTANCE SYSTEMS: A SURVEY
【24h】

PROGRESS WITH SITUATION ASSESSMENT AND RISK PREDICTION IN ADVANCED DRIVER ASSISTANCE SYSTEMS: A SURVEY

机译：高级驾驶员辅助系统中状态评估和风险预测的研究进展

获取原文
页面导航
  • 摘要
  • 著录项
  • 相似文献
  • 相关主题

摘要

In the field of automotive safety, advanced driver assistance systems (ADAS) are receiving growing attention. Effective ADAS requires awareness of the actual driving situation, a reliable assessment of the risks, and making rapid decisions on assisting actions. This paper reviews the current progress in these complementing subfields. The goal is to explore and critically analyze the most promising technological solutions and system application concepts. In order to systematize our study, first a reasoning model is introduced. Then, a detailed study of the different situation and risk evaluation methods currently applied in automotive safety systems is presented. Our first observation has been that the general thinking about ADAS reflects a ‘perception, analysis, decision and action’ pattern. In addition, we observed that situation and risk assessment is typically restricted both by the number of factors considered, and by a limited consideration of drivers’ attitudinal behavior. Though a huge amount of research knowledge has been published, there are still several gaps in the knowledge related to understanding and handling complex driving situations. We will use the information gathered in this survey to determine the most critical factors for ADAS, to extend risk assessment with consideration of human individual characteristics, and to develop a driveradaptive reasoning model.
机译：在汽车安全领域，高级驾驶员辅助系统（ADAS）受到越来越多的关注。有效的ADAS要求了解实际驾驶情况，对风险进行可靠的评估，并迅速制定有关辅助措施的决定。本文回顾了这些互补子领域的最新进展。目的是探索和批判性地分析最有前途的技术解决方案和系统应用程序概念。为了使我们的研究系统化，首先介绍了一个推理模型。然后，对当前在汽车安全系统中使用的不同情况和风险评估方法进行了详细研究。我们的第一个观察结果是，关于ADAS的一般思想反映了一种“感知，分析，决策和行动”模式。此外，我们观察到情况和风险评估通常受所考虑因素的数量以及驾驶员态度行为的有限考虑所限制。尽管已经发表了大量的研究知识，但是与理解和处理复杂驾驶情况有关的知识仍然存在一些空白。我们将使用从这次调查中收集的信息来确定ADAS的最关键因素，并考虑到人类的个人特征来扩展风险评估，并开发出驾驶员适应性推理模型。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱：kefu@zhangqiaokeyan.com

京公网安备：11010802029741号 ICP备案号：京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有

  • 客服微信

  • 服务号