• 主题
高级搜索  >
历史搜索 清空历史
首页> 外文期刊>Aerospace and Electronic Systems, IEEE Transactions on >Multilane-road target tracking using radar and image sensors
【24h】

Multilane-road target tracking using radar and image sensors

机译：使用雷达和图像传感器的多车道目标跟踪

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

Tracking of a maneuvering target moving on a multilane road using radar and image-sensor-based measurements is studied. A novel 2-D road representation of an on-road moving target is introduced. A natural description of the target longitudinal and lateral maneuvering behavior in the 2-D road coordinates is given using multiple models. An improved mean-adaptive acceleration model is utilized to describe the longitudinal maneuver modes of the motion. Three estimators based on IMM are developed that use different schemes for fusion of radar and image-sensor-based measurements: centralized, distributed, and sequential. Simulation results are presented that illustrate the performance of the proposed estimators and demonstrate their improved capability compared with a known 1-D road coordinate (mileage) estimator. Furthermore, a hidden Markov model (HMM) formulation and two algorithms for lane-only tracking using lane observations are proposed. A lane observation model is derived from a basic image sensor providing raw observation data. Simulation results show that the proposed HMM-based lane estimators can achieve good performance for lane tracking when only basic image-sensor-based measurements are available.
机译：研究了使用雷达和基于图像传感器的测量对在多车道道路上移动的机动目标的跟踪。介绍了一种新颖的道路运动目标的二维道路表示。使用多个模型可以自然地描述目标在二维道路坐标中的纵向和横向操纵行为。改进的均值自适应加速度模型用于描述运动的纵向机动模式。开发了三个基于IMM的估计器，它们使用不同的方案融合雷达和基于图像传感器的测量值：集中式，分布式和顺序式。仿真结果表明了所提出的估算器的性能，并证明了与已知的一维道路坐标（里程）估算器相比其改进的功能。此外，提出了隐马尔可夫模型（HMM）公式和使用车道观测值进行车道仅跟踪的两种算法。车道观察模型源自提供原始观察数据的基本图像传感器。仿真结果表明，当仅基于基本图像传感器的测量可用时，所提出的基于HMM的车道估计器可以实现良好的车道跟踪性能。

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