MANHOLE COVER DETECTION USING VEHICLE-BASED MULTI-SENSOR DATA
A new method combined wit multi-view matching and feature extraction technique is developed to detect manhole covers on the streets using close-range images combined with GPS/IMU and LINDAR data. The covers are an important target on the road traffic as same as transport signs, traffic lights and...
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Copernicus Publications
2012-07-01
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Series: | The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences |
Online Access: | https://www.int-arch-photogramm-remote-sens-spatial-inf-sci.net/XXXIX-B3/281/2012/isprsarchives-XXXIX-B3-281-2012.pdf |
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doaj-bd5349603aef4c2a91a44d97f5b8b51d2020-11-24T23:57:26ZengCopernicus PublicationsThe International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences1682-17502194-90342012-07-01XXXIX-B328128410.5194/isprsarchives-XXXIX-B3-281-2012MANHOLE COVER DETECTION USING VEHICLE-BASED MULTI-SENSOR DATAS. Ji0Y. Shi1Z. Shi2School of Remote Sensing and Information Engineering, Wuhan University, Wuhan 430049, ChinaCSIS, the University of Tokyo, Tokyo, JapanDept. of Environmental and Information Studies, Tokyo City University, Yokohama, JapanA new method combined wit multi-view matching and feature extraction technique is developed to detect manhole covers on the streets using close-range images combined with GPS/IMU and LINDAR data. The covers are an important target on the road traffic as same as transport signs, traffic lights and zebra crossing but with more unified shapes. However, the different shoot angle and distance, ground material, complex street scene especially its shadow, and cars in the road have a great impact on the cover detection rate. The paper introduces a new method in edge detection and feature extraction in order to overcome these difficulties and greatly improve the detection rate. The LIDAR data are used to do scene segmentation and the street scene and cars are excluded from the roads. And edge detection method base on canny which sensitive to arcs and ellipses is applied on the segmented road scene and the interesting areas contain arcs are extracted and fitted to ellipse. The ellipse are then resampled for invariance to shooting angle and distance and then are matched to adjacent images for further checking if covers and . More than 1000 images with different scenes are used in our tests and the detection rate is analyzed. The results verified our method have its advantages in correct covers detection in the complex street scene.https://www.int-arch-photogramm-remote-sens-spatial-inf-sci.net/XXXIX-B3/281/2012/isprsarchives-XXXIX-B3-281-2012.pdf |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
S. Ji Y. Shi Z. Shi |
spellingShingle |
S. Ji Y. Shi Z. Shi MANHOLE COVER DETECTION USING VEHICLE-BASED MULTI-SENSOR DATA The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences |
author_facet |
S. Ji Y. Shi Z. Shi |
author_sort |
S. Ji |
title |
MANHOLE COVER DETECTION USING VEHICLE-BASED MULTI-SENSOR DATA |
title_short |
MANHOLE COVER DETECTION USING VEHICLE-BASED MULTI-SENSOR DATA |
title_full |
MANHOLE COVER DETECTION USING VEHICLE-BASED MULTI-SENSOR DATA |
title_fullStr |
MANHOLE COVER DETECTION USING VEHICLE-BASED MULTI-SENSOR DATA |
title_full_unstemmed |
MANHOLE COVER DETECTION USING VEHICLE-BASED MULTI-SENSOR DATA |
title_sort |
manhole cover detection using vehicle-based multi-sensor data |
publisher |
Copernicus Publications |
series |
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences |
issn |
1682-1750 2194-9034 |
publishDate |
2012-07-01 |
description |
A new method combined wit multi-view matching and feature extraction technique is developed to detect manhole covers on the
streets using close-range images combined with GPS/IMU and LINDAR data. The covers are an important target on the road traffic as
same as transport signs, traffic lights and zebra crossing but with more unified shapes. However, the different shoot angle and
distance, ground material, complex street scene especially its shadow, and cars in the road have a great impact on the cover detection
rate. The paper introduces a new method in edge detection and feature extraction in order to overcome these difficulties and greatly
improve the detection rate. The LIDAR data are used to do scene segmentation and the street scene and cars are excluded from the
roads. And edge detection method base on canny which sensitive to arcs and ellipses is applied on the segmented road scene and the
interesting areas contain arcs are extracted and fitted to ellipse. The ellipse are then resampled for invariance to shooting angle and
distance and then are matched to adjacent images for further checking if covers and . More than 1000 images with different scenes
are used in our tests and the detection rate is analyzed. The results verified our method have its advantages in correct covers
detection in the complex street scene. |
url |
https://www.int-arch-photogramm-remote-sens-spatial-inf-sci.net/XXXIX-B3/281/2012/isprsarchives-XXXIX-B3-281-2012.pdf |
work_keys_str_mv |
AT sji manholecoverdetectionusingvehiclebasedmultisensordata AT yshi manholecoverdetectionusingvehiclebasedmultisensordata AT zshi manholecoverdetectionusingvehiclebasedmultisensordata |
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1725453989057658880 |