激光雷达性能指标

P. McManamon
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引用次数: 0

摘要

大多数早期的图像度量是为二维成像导出的。变化检测和视频也变得越来越流行。三维成像是一项革命性的传感技术,激光振动检测等传感技术正在发展。最终,我们将需要开发适用于这些新传感模式的图像质量指标,包括3D传感。3D激光雷达是开发3D点云图像的一种非常可行的方法。无源立体传感器也可以开发这样的图像,并且3D图像度量可以用于开发3D图像的两种方法。立体被动3D图像的距离分辨率可能低于角度/角度分辨率,距离分辨率取决于角度分辨率和使用的立体角度的大小,而飞行时间激光雷达的距离分辨率与角度/角度分辨率无关。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
LiDAR Performance Metrics
Most early image metrics have been derived for 2D imaging. Change detection and video are currently becoming more popular as well. 3D imaging is a revolutionary sensing technology on the horizon, and other sensing technologies such as laser vibration detection are developing. Eventually, we will need to develop image quality metrics applicable to these new sensing modalities, including 3D sensing. 3D LiDAR is a very likely method for developing a 3D point cloud image. Passive stereo sensors can also develop such an image, and 3D image metrics can be used for both methods of developing a 3D image. A stereoscopic, passive 3D image will likely have lower resolution in range than in angle/angle, with range resolution depending on angle resolution and the size of the stereo angle used, whereas time-of-flight LiDAR has range resolution that is independent of angle/angle resolution.
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