Obstacle detection ”for free” in the c-velocity space

S. Bouchafa, B. Zavidovique
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引用次数: 7

Abstract

Obstacle detection is a key process of automatic driver assistance. The present paper focuses on ”vision”, and particularly on ”monocular” mobile vision, to reconstruct a rough Scene-Structure From Motion. Considering the 3D scene as a set of 3D planes, our c-velocity approach segments the optical flow field into plane pieces without any camera calibration or a priori knowledge about the egomotion. The technical tip is to exhibit iso-velocity curves in establishing relations between their properties and plane orientations. We show in this paper how obstacle detection becomes obvious, costless and robust with the method. Results confirm the expected robustness, not to forget that the method extends to other parameterized surfaces.
在c速度空间中“免费”进行障碍物检测
障碍物检测是自动驾驶辅助系统的关键环节。本文的重点是“视觉”,特别是“单目”移动视觉,从运动中重建粗略的场景结构。考虑到3D场景是一组3D平面,我们的c-velocity方法将光流场分割成平面,而不需要任何相机校准或先验的自我运动知识。技术技巧是展示等速曲线,建立它们的性质与平面方向之间的关系。本文展示了该方法如何使障碍物检测变得明显、无成本和鲁棒性。结果证实了预期的鲁棒性,不要忘记该方法可以扩展到其他参数化曲面。
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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