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Enhancement of Lane Departure Warning System in Short Term Autonomous Warning using Inertial Sensors Assistance

机译:惯性传感器辅助的短期自主警告中车道偏离警告系统的增强

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This paper devotes to design and integrate a hybrid and innovative LDWs scheme to increase its availability. The scheme presents a solution of discontinuous lane marking for markings detection using camera and sensor fusion, including image processing, dead-reckoning and vehicular signals. To extract lane markings from image catching, DSP perform the task after image calibration and coordinate transform. The vision is applied by a camera which plays the role of displaying preceding image and warning information with buzzer. When operating at failure mode, inertial signals apply and provide available track. In dead reckoning technology, hybrid sensors address a global and all weather assistant design based on odometry and inertial sensor. From inertial data and vehicular information, this paper provides an extended solution with learning parameters to do remote warning. The proposed system is carried out with theoretical application and hardware integration, and furthermore the result shows extended LDWs approach applicability.
机译:本文致力于设计和集成混合和创新的LDW方案,以提高其可用性。该方案提出了一种不连续车道标记的解决方案,用于使用摄像头和传感器融合进行标记检测,包括图像处理,死守和车辆信号。为了从图像捕捉中提取车道标记,DSP在图像校准和坐标转换后执行任务。视觉是由摄像机应用的,摄像机起着用蜂鸣器显示先前图像和警告信息的作用。在故障模式下运行时,惯性信号会施加并提供可用的轨迹。在航位推算技术中,混合传感器解决了基于里程表和惯性传感器的全球和全天候助手设计。根据惯性数据和车辆信息,本文提供了具有学习参数的扩展解决方案以进行远程警告。所提出的系统具有理论应用和硬件集成的功能,并且结果显示了扩展的LDWs方法的适用性。

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