论文标题

深度传感超出激光雷达范围

Depth Sensing Beyond LiDAR Range

论文作者

Zhang, Kai, Xie, Jiaxin, Snavely, Noah, Chen, Qifeng

论文摘要

深度传感是自动驾驶技术的关键组成部分,但是当今的LiDAR-或立体声摄像头解决方案的范围有限。为了更好的安全,我们试图增加自动驾驶汽车深度感知模块的最大范围。为此,我们提出了一个新型的三摄像机系统,该系统利用了较小的视野摄像机。我们的系统,以及用于计算度量深度的新型算法,不需要完全校准,并且可以输出密集的深度图,对于长距离的场景和物体,大多数商业激光痛都没有很好地覆盖的场景和物体,并且几乎可以接受。

Depth sensing is a critical component of autonomous driving technologies, but today's LiDAR- or stereo camera-based solutions have limited range. We seek to increase the maximum range of self-driving vehicles' depth perception modules for the sake of better safety. To that end, we propose a novel three-camera system that utilizes small field of view cameras. Our system, along with our novel algorithm for computing metric depth, does not require full pre-calibration and can output dense depth maps with practically acceptable accuracy for scenes and objects at long distances not well covered by most commercial LiDARs.

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