被动夜视传感器在无人地面车辆立体视觉导航中的比较

K. Owens, L. Matthies
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引用次数: 1

摘要

“Demo III”无人驾驶地面车辆项目的目标之一是实现夜间自主导航,速度可达每小时10英里。要在夜间使用立体视觉进行障碍物检测,需要夜视摄像头能够根据驾驶速度、车辆动态、障碍物大小和将遇到的场景条件产生足够的图像质量。以立体匹配质量、图像信噪比、运动模糊和同步能力为标准,分析了4类夜视摄像机(3-5 /spl μ m冷却型前视红外、8-12 /spl μ m冷却型前视红外、8-12 /spl非冷却型前视红外和图像增强器)对夜间立体视觉的适应性。我们发现,只有冷却后的前视红外才能实现立体视觉性能,从而满足演示III项目的夜间自主移动目标。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Passive night vision sensor comparison for unmanned ground vehicle stereo vision navigation
One goal of the "Demo III" unmanned ground vehicle program is to enable autonomous nighttime navigation at speeds of up to 10 m.p.h. To perform obstacle detection at night with stereo vision will require night vision cameras that produce adequate image quality for the driving speeds, vehicle dynamics, obstacle sizes, and scene conditions that will be encountered. This paper analyzes the suitability of four classes of night vision cameras (3-5 /spl mu/m cooled FLIR, 8-12 /spl mu/m cooled FLIR, 8-12 /spl mu/m uncooled FLIR, and image intensifiers) for night stereo vision, using criteria based on stereo matching quality, image signal to noise ratio, motion blur and synchronization capability. We find that only cooled FLIRs will enable stereo vision performance that meets the goals of the Demo III program for nighttime autonomous mobility.
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