...
首页> 外文期刊>Information Fusion >Multiple hypothesis tracking for data association in vehicular networks
【24h】

Multiple hypothesis tracking for data association in vehicular networks

机译:车辆网络中数据关联的多假设跟踪

获取原文
获取原文并翻译 | 示例
   

获取外文期刊封面封底 >>

       

摘要

The introduction of Vehicle to Vehicle (V2V) and Vehicle to Infrastructure (V2I) communications in Intelligent Transportation Systems of the future brings new opportunities and new challenges into the automotive scene. Vehicular communications broaden the information spectrum that is available to each vehicle, allowing the enhancement of existing applications and the introduction of new ones. Undoubtedly, the impact of this new technology in transportation safety, efficiency and infotainment is expected to be very important. A significant part of research in vehicular networks (VANETs) is dedicated to networking issues like routing and safety. However, perception systems which until now were based on onboard sensors only, need to incorporate the wirelessly received information in order to extend the situation awareness of the vehicle and the driver. This paper presents an algorithm for associating targets tracked from an onboard radar sensor with the position and motion data received from the VANET. The core of the algorithm is a track oriented multiple hypothesis tracker that is modified for incorporating information included in VANET messages. The algorithm is tested in real scenarios using two experimental vehicles and then compared with two other algorithmic approaches. One is using a simpler single hypothesis algorithm for association of VANET messages and the second is using only the onboard sensors for environment perception. As a result, the advantages of the Multiple Hypothesis Algorithm regarding association performance and the added value of wireless information in the perception system are highlighted.
机译:未来在智能交通系统中引入车对车(V2V)和车对基础设施(V2I)通信为汽车领域带来了新的机遇和新的挑战。车载通信拓宽了每辆车可用的信息范围,从而可以增强现有应用程序并引入新的应用程序。毫无疑问,这项新技术对运输安全性,效率和信息娱乐的影响非常重要。车载网络(VANET)的大量研究致力于解决路由和安全性等网络问题。然而,迄今为止仅基于车载传感器的感知系统需要合并无线接收的信息,以扩展车辆和驾驶员的状况感知。本文提出了一种算法,用于将从机载雷达传感器跟踪的目标与从VANET接收的位置和运动数据相关联。该算法的核心是面向轨道的多假设跟踪器,该跟踪器经过修改以合并VANET消息中包含的信息。使用两个实验工具在实际场景中对该算法进行了测试,然后与其他两种算法方法进行了比较。一种是使用简单的单一假设算法来关联VANET消息,第二种是仅使用板载传感器进行环境感知。结果,突出了多重假设算法在感知系统中有关关联性能和无线信息附加值的优势。

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