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Tracking objects with multiple reflections based on ultrasonic transducer raw data using a PDAF

机译:使用PDAF基于超声换能器原始数据跟踪多次反射的对象

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When mounted on a vehicle bumper, ultrasonic transducer signal contains information from valid objects as well as ground reflections. In order to remove ground echoes, the classic approach is to use thresholds to filter reflections of small amplitude. However, valid object reflections can frequently occur beneath the ground thresholds, reducing the detection rate of the sensor. We present an approach where tracks are initialized only with echoes above the ground thresholds, but updated with all echoes using a PDAF. As objects can often reflect a second echo, we propose a modification of the PDAF to avoid interference between the first echo real object position and the second echo. Simulation and real measurements both show the advantage of our method which improves tremendously the detection rate.
机译:当安装在汽车保险杠上时,超声换能器信号包含来自有效物体的信息以及地面反射。为了消除地面回波,经典方法是使用阈值来过滤小幅度反射。但是,有效的物体反射经常会在地面阈值以下发生,从而降低了传感器的检测率。我们提出一种方法,其中仅使用高于地面阈值的回声来初始化轨迹,而使用PDAF使用所有回声来更新轨迹。由于物体经常可以反射第二回波,因此我们建议对PDAF进行修改,以避免第一回波实际物体位置和第二回波之间发生干扰。仿真和实际测量均显示了我们方法的优势,该方法极大地提高了检测率。

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