• 主题
高级搜索  >
历史搜索 清空历史
首页> 外文会议>Advanced microsystems for automotive applications 2009 : Smart systems for safety, sustainability, and comfort >Evaluation of ADAS with a supported-Driver Model for desired Allocation of Tasks between Human and Technology Performance
【24h】

Evaluation of ADAS with a supported-Driver Model for desired Allocation of Tasks between Human and Technology Performance

机译：使用支持的驱动程序模型评估ADAS，以在人与技术绩效之间分配所需的任务

获取原文
获取原文并翻译 | 示例
页面导航
  • 摘要
  • 著录项
  • 相似文献
  • 相关主题

摘要

Partly automated driving is relevant for solving mobility problems, but also cause concerns with respect to driver's reliability in task performance. The presented supported driver model is therefore intended to answer in which circumstances, what type of support enhances the driver's ability to control the vehicle. It became apparent that prerequisites for performing tasks differ per driving task's type and require different support. The possible support for each driving task's type has been combined with support-types to reduce the error causations from each different performance level (i.e. knowledge-based, rule-based and skill-based performance). The allocation of support in relation to performance level and driving task's type resulted in a supported driver model and this model relates the requested circumstances to appropriate support types. Among three tested ADAS systems, semi-automated parking showed best allocation of support; converting the demanding parallel parking task into a rather routine-like operation.
机译：部分自动驾驶与解决机动性问题有关，但也引起驾驶员对任务执行可靠性的担忧。因此，提出的支持驾驶员模型旨在回答在什么情况下，哪种类型的支持可增强驾驶员控制车辆的能力。显然，执行任务的前提条件因驾驶任务的类型而异，并且需要不同的支持。对每种驾驶任务类型的可能支持已与支持类型相结合，以减少每种不同绩效水平（即基于知识，基于规则和基于技能的绩效）的错误原因。与性能水平和驾驶任务类型相关的支持分配产生了受支持的驾驶员模型，并且该模型将请求的情况与适当的支持类型相关联。在三个经过测试的ADAS系统中，半自动泊车系统显示出最佳的支持分配。将苛刻的并行停车任务转换为类似常规的操作。

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