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Method for Road Vanishing Point Detection Using DNN and Hog Feature

DNN과 HoG Feature를 이용한 도로 소실점 검출 방법

Yoon, Dae-Eun;Choi, Hyung-Il
윤대은;최형일

  • Received : 2018.11.05
  • Accepted : 2018.11.22
  • Published : 2019.01.28

Abstract

A vanishing point is a point on an image to which parallel lines projected from a real space gather. A vanishing point in a road space provides important spatial information. It is possible to improve the position of an extracted lane or generate a depth map image using a vanishing point in the road space. In this paper, we propose a method of detecting vanishing points on images taken from a vehicle's point of view using Deep Neural Network (DNN) and Histogram of Oriented Gradient (HoG). The proposed algorithm is divided into a HoG feature extraction step, in which the edge direction is extracted by dividing an image into blocks, a DNN learning step, and a test step. In the learning stage, learning is performed using 2,300 road images taken from a vehicle's point of views. In the test phase, the efficiency of the proposed algorithm using the Normalized Euclidean Distance (NormDist) method is measured.

Keywords

Vanishing Point;DNN;HoG Feature;NormDist

References

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Acknowledgement

Supported by : 한국연구재단