Towards Full Omnidirectional Depth Sensing Using Active Vision for Small Unmanned Aerial Vehicles

A. Harmat, I. Sharf
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引用次数: 2

Abstract

Collision avoidance for small unmanned aerial vehicles operating in a variety of environments is limited by the types of available depth sensors. Currently, there are no sensors that are lightweight, function outdoors in sunlight, and cover enough of a field of view to be useful in complex environments, although many sensors excel in one or two of these areas. We present a new depth estimation method, based on concepts from multi-view stereo and structured light methods, that uses only lightweight miniature cameras and a small laser dot matrix projector to produce measurements in the range of 1-12 meters. The field of view of the system is limited only by the number and type of cameras/projectors used, and can be fully Omni directional if desired. The sensitivity of the system to design and calibration parameters is tested in simulation, and results from a functional prototype are presented.
基于主动视觉的小型无人机全向深度传感研究
在各种环境中操作的小型无人机的避碰受到可用深度传感器类型的限制。目前,还没有一种传感器重量轻,能在户外的阳光下工作,并能覆盖足够的视野,在复杂的环境中发挥作用,尽管许多传感器在其中一两个领域表现出色。我们提出了一种新的深度估计方法,基于多视点立体和结构光方法的概念,仅使用轻型微型相机和小型激光点阵投影仪产生1-12米范围内的测量。该系统的视野仅受所使用的摄像机/投影仪的数量和类型的限制,如果需要,可以完全是全方向的。通过仿真测试了系统对设计参数和标定参数的敏感性,并给出了功能样机的测试结果。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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