Automatic on-the-fly extrinsic camera calibration of onboard vehicular cameras

被引：30
作者：
de Paula, M. B. [1 ,2 ]
Jung, C. R. [1 ]
da Silveira, L. G., Jr. [3 ]
机构：
[1] Fed Univ Rio Grande Sul UFRGS, Inst Informat, Porto Alegre, RS, Brazil
[2] Fed Univ Pelotas UFPEL, Dept Math & Stat, Pelotas, RS, Brazil
[3] Univ Vale Rio dos Sinos UNISINOS, Appl Comp Grad Program PIPCA, Sao Leopoldo, RS, Brazil
来源：
EXPERT SYSTEMS WITH APPLICATIONS | 2014年 / 41卷 / 04期
关键词：
Camera calibration; Onboard vehicular cameras; Augmented reality; Driver assistance system; Lane detection; Virtual road signs; Virtual camera; DRIVER ASSISTANCE; PEDESTRIAN DETECTION; HIGH-ACCURACY; MACHINE; MODEL; ROAD;
D O I：
10.1016/j.eswa.2013.08.096
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
This paper presents an on-the-fly procedure for obtaining extrinsic camera parameters of onboard vehicular cameras, as well as augmented reality applications for driver assistance systems and road inspection. The proposed approach employs a lane detection algorithm to extract the lane boundaries of the road, and estimates the distance between adjacent lane markings based on the speed of the vehicle. Then, a rectangular portion of the road is used to obtain the desired extrinsic camera parameters. With the complete set of camera parameters, virtual objects can be coherently inserted into the video sequence captured by the camera, so that synthetic traffic signs may be added to increase safety. Experimental results illustrate the performance of the proposed camera calibration systems, as well as possible applications involving augmented reality. (C) 2013 Elsevier Ltd. All rights reserved.
引用
收藏
页码：1997 / 2007
页数：11
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