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Low-Complexity and Low-Delay Structure from Motion Approach for Advanced Driver Assist Systems

机译:适用于高级驾驶员辅助系统的运动方法的低复杂度和低延迟结构

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Structure from Motion (SfM) is a fundamental capability in Advanced Driver Assist Systems (ADAS) which require accuracy and performance. This paper presents an improved solution to depth estimation based on a low-complexity and low-delay (LOCAD) 3D SfM approach that requires as few as two images from a calibrated camera and that makes use of a new Multi-scale Fast Feature Point Detector (MFFPD). Results are presented to illustrate the improved performance of the proposed method as compared to existing depth estimation methods.
机译:运动结构(SfM)是高级驾驶辅助系统(ADAS)的一项基本功能,需要精确性和性能。本文提出了一种基于低复杂度和低延迟(LOCAD)3D SfM方法的深度估计的改进解决方案,该方法仅需要从经过校准的摄像机获取两张图像,并且使用了新型的多尺度快速特征点检测器(MFFPD)。给出结果以说明与现有深度估计方法相比,所提出方法的改进性能。

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