Automatic Calibration of an Around View Monitor System Exploiting Lane Markings
This paper proposes a method that automatically calibrates four cameras of an around view monitor (AVM) system in a natural driving situation. The proposed method estimates orientation angles of four cameras composing the AVM system, and assumes that their locations and intrinsic parameters are know...
Main Authors: | , , |
---|---|
Format: | Article |
Language: | English |
Published: |
MDPI AG
2018-09-01
|
Series: | Sensors |
Subjects: | |
Online Access: | http://www.mdpi.com/1424-8220/18/9/2956 |
id |
doaj-e4ff421b7b6a4a44b1a7230df9b488e1 |
---|---|
record_format |
Article |
spelling |
doaj-e4ff421b7b6a4a44b1a7230df9b488e12020-11-24T22:20:07ZengMDPI AGSensors1424-82202018-09-01189295610.3390/s18092956s18092956Automatic Calibration of an Around View Monitor System Exploiting Lane MarkingsKyoungtaek Choi0Ho Gi Jung1Jae Kyu Suhr2Department of Electronic Engineering, Korea National University of Transportation, 50 Daehak-ro, Chungju-si, Chungbuk 27469, KoreaDepartment of Electronic Engineering, Korea National University of Transportation, 50 Daehak-ro, Chungju-si, Chungbuk 27469, KoreaSchool of Intelligent Mechatronics Engineering, Sejong University, 209 Neungdong-ro, Gwangjin-gu, Seoul 05006, KoreaThis paper proposes a method that automatically calibrates four cameras of an around view monitor (AVM) system in a natural driving situation. The proposed method estimates orientation angles of four cameras composing the AVM system, and assumes that their locations and intrinsic parameters are known in advance. This method utilizes lane markings because they exist in almost all on-road situations and appear across images of adjacent cameras. It starts by detecting lane markings from images captured by four cameras of the AVM system in a cost-effective manner. False lane markings are rejected by analyzing the statistical properties of the detected lane markings. Once the correct lane markings are sufficiently gathered, this method first calibrates the front and rear cameras, and then calibrates the left and right cameras with the help of the calibration results of the front and rear cameras. This two-step approach is essential because side cameras cannot be fully calibrated by themselves, due to insufficient lane marking information. After this initial calibration, this method collects corresponding lane markings appearing across images of adjacent cameras and simultaneously refines the initial calibration results of four cameras to obtain seamless AVM images. In the case of a long image sequence, this method conducts the camera calibration multiple times, and then selects the medoid as the final result to reduce computational resources and dependency on a specific place. In the experiment, the proposed method was quantitatively and qualitatively evaluated in various real driving situations and showed promising results.http://www.mdpi.com/1424-8220/18/9/2956around view monitor (AVM) systemautomatic calibrationlane markingparking assist systemadvanced driver assistance system (ADAS) |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Kyoungtaek Choi Ho Gi Jung Jae Kyu Suhr |
spellingShingle |
Kyoungtaek Choi Ho Gi Jung Jae Kyu Suhr Automatic Calibration of an Around View Monitor System Exploiting Lane Markings Sensors around view monitor (AVM) system automatic calibration lane marking parking assist system advanced driver assistance system (ADAS) |
author_facet |
Kyoungtaek Choi Ho Gi Jung Jae Kyu Suhr |
author_sort |
Kyoungtaek Choi |
title |
Automatic Calibration of an Around View Monitor System Exploiting Lane Markings |
title_short |
Automatic Calibration of an Around View Monitor System Exploiting Lane Markings |
title_full |
Automatic Calibration of an Around View Monitor System Exploiting Lane Markings |
title_fullStr |
Automatic Calibration of an Around View Monitor System Exploiting Lane Markings |
title_full_unstemmed |
Automatic Calibration of an Around View Monitor System Exploiting Lane Markings |
title_sort |
automatic calibration of an around view monitor system exploiting lane markings |
publisher |
MDPI AG |
series |
Sensors |
issn |
1424-8220 |
publishDate |
2018-09-01 |
description |
This paper proposes a method that automatically calibrates four cameras of an around view monitor (AVM) system in a natural driving situation. The proposed method estimates orientation angles of four cameras composing the AVM system, and assumes that their locations and intrinsic parameters are known in advance. This method utilizes lane markings because they exist in almost all on-road situations and appear across images of adjacent cameras. It starts by detecting lane markings from images captured by four cameras of the AVM system in a cost-effective manner. False lane markings are rejected by analyzing the statistical properties of the detected lane markings. Once the correct lane markings are sufficiently gathered, this method first calibrates the front and rear cameras, and then calibrates the left and right cameras with the help of the calibration results of the front and rear cameras. This two-step approach is essential because side cameras cannot be fully calibrated by themselves, due to insufficient lane marking information. After this initial calibration, this method collects corresponding lane markings appearing across images of adjacent cameras and simultaneously refines the initial calibration results of four cameras to obtain seamless AVM images. In the case of a long image sequence, this method conducts the camera calibration multiple times, and then selects the medoid as the final result to reduce computational resources and dependency on a specific place. In the experiment, the proposed method was quantitatively and qualitatively evaluated in various real driving situations and showed promising results. |
topic |
around view monitor (AVM) system automatic calibration lane marking parking assist system advanced driver assistance system (ADAS) |
url |
http://www.mdpi.com/1424-8220/18/9/2956 |
work_keys_str_mv |
AT kyoungtaekchoi automaticcalibrationofanaroundviewmonitorsystemexploitinglanemarkings AT hogijung automaticcalibrationofanaroundviewmonitorsystemexploitinglanemarkings AT jaekyusuhr automaticcalibrationofanaroundviewmonitorsystemexploitinglanemarkings |
_version_ |
1725776835123347456 |