Mosaic: leveraging diverse reflector geometries for omnidirectional around-corner automotive radar
Mosaic: leveraging diverse reflector geometries for omnidirectional around-corner automotive radar
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DOI：
10.1145/3498361.3538944
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发表时间：
2022-06
期刊：
影响因子：
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通讯作者：
Timothy Woodford;Xinyu Zhang;Eugene Chai;K. Sundaresan
中科院分区：
文献类型：
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作者：
Timothy Woodford;Xinyu Zhang;Eugene Chai;K. Sundaresan
由于视线受阻，发生了大量的交通碰撞，以至于即使是先进的驾驶员辅助系统也无法防止碰撞。最近的工作提出了使用转弯雷达系统来检测这些被遮挡地区的车辆、行人和其他道路使用者。通过综合测量，我们证明了这些现有的技术在许多重要的现实场景中都不能感知被遮挡的运动目标。为了解决覆盖范围有限的问题，我们利用多个曲面反射器在交叉口附近最重要的位置提供全面覆盖。在曲面反射器不足的情况下，我们评估使用额外平面表面的相对好处。使用这些技术，我们在三个真实的城市地点检测到十字路口附近车辆的可能性增加了一倍以上，并使用了一种全新的反射器来实现NLOS雷达传感。
A large number of traffic collisions occur as a result of obstructed sight lines, such that even an advanced driver assistance system would be unable to prevent the crash. Recent work has proposed the use of around-the-corner radar systems to detect vehicles, pedestrians, and other road users in these occluded regions. Through comprehensive measurement, we show that these existing techniques cannot sense occluded moving objects in many important real-world scenarios. To solve this problem of limited coverage, we leverage multiple, curved reflectors to provide comprehensive coverage over the most important locations near an intersection. In scenarios where curved reflectors are insufficient, we evaluate the relative benefits of using additional flat planar surfaces. Using these techniques, we more than double the probability of detecting a vehicle near the intersection in three real urban locations, and enable NLoS radar sensing using an entirely new class of reflectors.