Visual odometry based on locally planar ground assumption

Hui Wang, Kui Yuan, Wei Zou, Qingrui Zhou
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引用次数: 49

Abstract

A method for estimating ego-motion with vehicle mounted single camera is presented in this paper. Simultaneous translation and rotation are accurately measured by detecting and tracking features in image sequences. This approach is based on locally planar ground assumption and runs in real-time. It has been verified in a variety of real-world environments and on real mobile robot platforms.
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基于局部平面地面假设的视觉里程计
提出了一种基于车载单摄像机的自运动估计方法。通过检测和跟踪图像序列中的特征,精确测量同步平移和旋转。该方法基于局部平面地面假设,具有实时性。它已经在各种现实环境和真实的移动机器人平台上得到了验证。
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