A method of detecting parking slot in hough space and pose estimation using rear view image for autonomous parking system

Seunghyun Kim, Joong-Sik Kim, Whoiyul Kim
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引用次数: 4

Abstract

This paper proposes an algorithm for parking assist system. It detects a parking slot and estimates the pose of the parking slot. User touches the parking slot that wants to park at the display showing rear view. Then, an ROI is set based on the touch point. Parking slot is detected in the ROI using Hough transform. NCC (Normalized Cross Correlation) is used to get the pose of parking slot. It successfully detects parking slot and estimates the pose. But, there is a problem due to the scene change causing variation of parking slot at rear view when vehicle enters the parking slot. To solve this problem, the process of pose estimation is separated into phase 1 and phase 2 according to applied template shape.
基于后视镜的自动泊车系统车位检测与位姿估计方法
本文提出了一种停车辅助系统的算法。它检测到一个停车位,并估计停车位的姿势。用户在显示后视图的显示屏上触摸想要停车的车位。然后,根据接触点设置ROI。利用霍夫变换在ROI中检测车位。采用归一化互相关(NCC)方法得到车位位姿。它成功地检测到停车位并估计姿势。但是,当车辆进入车位时,由于场景的变化会导致后视镜的车位发生变化。为了解决这一问题,根据应用的模板形状将姿态估计过程分为第一阶段和第二阶段。
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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