Railway Fastener Inspection by Real-Time Machine Vision

2015-07-01
Aytekin, Caglar
REZAEITABAR, Yousef
Dogru, Sedat
Ulusoy, İlkay
In this paper, a real-time railway fastener detection system using a high-speed laser range finder camera is presented. First, an extensive analysis of various methods based on pixel-wise and histogram similarities are conducted on a specific railway route. Then, a fusing stage is introduced which combines least correlated approaches also considering the performance upgrade after fusing. Then, the resulting method is tested on a larger database collected from a different railway route. After observing repeated successes, the method is implemented on NI LabVIEW and run real-time with a high-speed 3-D camera placed under a railway carriage designed for railway quality inspection.
IEEE TRANSACTIONS ON SYSTEMS MAN CYBERNETICS-SYSTEMS

Suggestions

Tracking rectangular and elliptical extended targets using laser measurements
Granström, Karl; Lundquist, Christian; Orguner, Umut (IEEE; 2011-07-08)
This paper considers tracking of extended targets using data from laser range sensors. Two types of extended target shapes are considered, rectangular and elliptical, and a method to compute predicted measurements and corresponding innovation covariances is suggested. The proposed method can easily be integrated into any tracking framework that relies on the use of an extended Kalman filter. Here, it is used together with a recently proposed Gaussian mixture probability hypothesis density (GM-PHD) filter fo...
Optical system design of direct detection short-pulsed laser proximity sensor
Korkmaz, Emrah; Yerci, Selçuk; Demir, Şimşek; Department of Micro and Nanotechnology (2017)
In this study, we designed a Laser Proximity Sensor system that measures the distance by analyzing the echo signal reflected from object using time-of-flight principle. The sensor makes a direct-detection using a short-pulsed laser and is capable of detecting objects and measuring distances in a range between 0.5 m and 10 m far from the system. Reflectivities of objects are assumed to lie between 20% and 90% and obeying to Lambertian BSDF (Bi-Directional Scatter Distribution Function). A mathematical model ...
Airport runway detection in satellite images by Adaboost Learning
ZÖNGÜR, Ugur; Halıcı, Uğur; AYTEKİN, Orsan; Ulusoy, İlkay (2009-09-03)
Advances in hardware and pattern recognition techniques, along with the widespread utilization of remote sensing satellites, have urged the development of automatic target detection systems in satellite images. Automatic detection of airports is particularly essential, due to the strategic importance of these targets. In this paper, a runway detection method using a segmentation process based on textural properties is proposed for the detection of airport runways, which is the most distinguishing element of...
Vision-Based Detection and Distance Estimation of Micro Unmanned Aerial Vehicles
Gökçe, Fatih; Üçoluk, Göktürk; Şahin, Erol; Kalkan, Sinan (MDPI, ST ALBAN-ANLAGE 66, CH-4052 BASEL, SWITZERLAND, 2015-9)
Detection and distance estimation of micro unmanned aerial vehicles (mUAVs) is crucial for (i) the detection of intruder mUAVs in protected environments; (ii) sense and avoid purposes on mUAVs or on other aerial vehicles and (iii) multi-mUAV control scenarios, such as environmental monitoring, surveillance and exploration. In this article, we evaluate vision algorithms as alternatives for detection and distance estimation of mUAVs, since other sensing modalities entail certain limitations on the environment...
Ship detection in synthetic aperture radar (SAR) images by deep learning
Ayhan, Oner; Sen, Nigar (2019-01-01)
In this paper, we propose a Convolutional Neural Network (CNN) based method to detect ships in Synthetic Aperture Radar (SAR) images. The architecture of proposed CNN has customized parts to detect small targets. In order to train, validate and test the CNN, TerraSAR-X Spot mode images are used. In the phase of data preparation, a GIS (Geographic Information System) specialist labels ships manually in all images. Later, image patches that contain ships are cropped and ground truths are also obtained from pr...
Citation Formats
C. Aytekin, Y. REZAEITABAR, S. Dogru, and İ. Ulusoy, “Railway Fastener Inspection by Real-Time Machine Vision,” IEEE TRANSACTIONS ON SYSTEMS MAN CYBERNETICS-SYSTEMS, pp. 1101–1107, 2015, Accessed: 00, 2020. [Online]. Available: https://hdl.handle.net/11511/38678.