15.3.3.9 Railroads, Inspection, Obstacles

Chapter Contents (Back)
Obstacle Detection. Collision Detection. Railroads. Trains. See also Obstacle Dectection, Other Vehicles, Objects on the Road. See also Rail Traffic Controls, Trains.

Mermec Group,
2010.
WWW Link. Vendor, Railroad Inspection.

Trosino, M.[Michael], Cunningham, J.J.[John J.], Shaw, III, A.E.[Alfred E.],
Automated track inspection vehicle and method,
US_Patent6,064,428, May 16, 2000
WWW Link. BibRef 0005
And: US_Patent6,356,299, Mar 12, 2002
WWW Link. BibRef

Mandriota, C., Nitti, M., Ancona, N., Stella, E., Distante, A.,
Filter-based feature selection for rail defect detection,
MVA(15), No. 4, October 2004, pp. 179-185.
Springer DOI 0410
BibRef

Mandriota, C., Stella, E., Nitti, M., Ancona, N., Distante, A.,
Rail Corrugation Detection by Gabor Filtering,
ICIP01(II: 626-628).
IEEE DOI 0108
BibRef

Labarile, A., Stella, E., Ancona, N., Distante, A.,
Ballast 3D reconstruction by a matching pursuit based stereo matcher,
IVS04(653-657).
WWW Link. 0411
BibRef

Mazzeo, P.L., Nitti, M., Stella, E., Distante, A.,
Visual recognition of fastening bolts for railroad maintenance,
PRL(25), No. 6, 19 April 2004, pp. 669-677.
Elsevier DOI 0405
BibRef

Kim, Z.[ZuWhan], Cohn, T.E.,
Pseudoreal-time activity detection for railroad grade-crossing safety,
ITS(5), No. 4, December 2004, pp. 319-324.
IEEE Abstract. 0501
BibRef

Marino, F.[Francescomaria], Distante, A.[Arcangelo], Mazzeo, P.L.[Pier Luigi], Stella, E.[Ettore],
A Real-Time Visual Inspection System for Railway Maintenance: Automatic Hexagonal-Headed Bolts Detection,
SMC-C(37), No. 3, May 2007, pp. 418-428.
IEEE DOI 0704
BibRef

Tsang, C.W., Ho, T.K.,
Optimal Track Access Rights Allocation for Agent Negotiation in an Open Railway Market,
ITS(9), No. 1, March 2008, pp. 68-82.
IEEE DOI 0803
BibRef

Garcia, J.J., Ureña, J., Hernandez, A., Mazo, M., Jimenez, J.A., Alvarez, F.J., De Marziani, C., Jimenez, A., Diaz, M.J., Losada, C., Garcia, E.,
Efficient Multisensory Barrier for Obstacle Detection on Railways,
ITS(11), No. 3, September 2010, pp. 702-713.
IEEE DOI 1003
BibRef

Wilson, A.[Andrew],
Riding the Rails,
VisSys(16), No. 1, January 2011. Survey, Rail Inspection. Railway tunnels, bridges, and underpasses can be imaged at high speeds using linescan and area-array cameras. BibRef 1101

Hensel, S., Hasberg, C., Stiller, C.,
Probabilistic Rail Vehicle Localization With Eddy Current Sensors in Topological Maps,
ITS(12), No. 4, December 2011, pp. 1525-1536.
IEEE DOI 1112
BibRef

Huang, Y.P.[Ya-Ping], Luo, S.W.[Si-Wei], Wang, S.C.[Sheng-Chun],
Combining Boundary and Region Information with Bolt Prior for Rail Surface Detection,
IEICE(E95-D), No. 2, February 2012, pp. 690-693.
WWW Link. 1202
BibRef

Hernandez, A., Perez, M.C., Garcia, J.J., Jimenez, A., Garcia, J.C., Espinosa, F., Mazo, M., Urena, J.,
FPGA-Based Track Circuit for Railways Using Transmission Encoding,
ITS(13), No. 2, June 2012, pp. 437-448.
IEEE DOI 1206
BibRef

Li, Q.Y.[Qing-Yong], Huang, Y.P.[Ya-Ping], Liang, Z.P.[Zheng-Ping], Luo, S.W.[Si-Wei],
Thresholding Based on Maximum Weighted Object Correlation for Rail Defect Detection,
IEICE(E95-D), No. 7, July 2012, pp. 1819-1822.
WWW Link. 1208
BibRef

Xu, Z., Wang, W., Sun, Y.,
Performance Degradation Monitoring for Onboard Speed Sensors of Trains,
ITS(13), No. 3, September 2012, pp. 1287-1297.
IEEE DOI 1209
BibRef

Nassu, B.T., Ukai, M.,
A Vision-Based Approach for Rail Extraction and its Application in a Camera Pan-Tilt Control System,
ITS(13), No. 4, December 2012, pp. 1763-1771.
IEEE DOI 1212
BibRef

Zhang, Y.X.[Yi-Xin], Wang, S.[Shun], Zhang, X.[Xuping], Xie, F.[Fei], Wang, J.[Jiaqi],
Freight train gauge-exceeding detection based on three-dimensional stereo vision measurement,
MVA(24), No. 3, April 2013, pp. 461-475.
WWW Link. 1303
BibRef

Shafiullah, G.M., Azad, S.A., Ali, A.B.M.S.,
Energy-Efficient Wireless MAC Protocols for Railway Monitoring Applications,
ITS(14), No. 2, 2013, pp. 649-659.
IEEE DOI 1307
Rail transportation; Energy efficiency BibRef

Chen, X.X.[Xiang-Xian], Zhou, G.S.[Gong-Shuang], Yang, Y.[Yi], Huang, H.[Hai],
A Newly Developed Safety-Critical Computer System for China Metro,
ITS(14), No. 2, 2013, pp. 709-719.
IEEE DOI 1307
railways; really the computer system, not vision. BibRef

Resendiz, E., Hart, J.M., Ahuja, N.,
Automated Visual Inspection of Railroad Tracks,
ITS(14), No. 2, 2013, pp. 751-760.
IEEE DOI 1307
automated visual inspection; spectral estimation method BibRef

Dong, H., Ning, B., Chen, Y., Sun, X., Wen, D., Hu, Y., Ouyang, R.,
Emergency Management of Urban Rail Transportation Based on Parallel Systems,
ITS(14), No. 2, 2013, pp. 627-636.
IEEE DOI 1307
Rail transportation BibRef

Wang, H., Schmid, F., Chen, L., Roberts, C., Xu, T.,
A Topology-Based Model for Railway Train Control Systems,
ITS(14), No. 2, 2013, pp. 819-827.
IEEE DOI 1307
signaling; Safety BibRef

Wang, J., Wang, J., Roberts, C., Chen, L.,
Parallel Monitoring for the Next Generation of Train Control Systems,
ITS(16), No. 1, February 2015, pp. 330-338.
IEEE DOI 1502
Communication system signaling BibRef

Wang, H., Yu, F.R., Zhu, L., Tang, T., Ning, B.,
Finite-State Markov Modeling for Wireless Channels in Tunnel Communication-Based Train Control Systems,
ITS(15), No. 3, June 2014, pp. 1083-1090.
IEEE DOI 1407
Antenna measurements BibRef

Sohn, K.[Keemin],
Optimizing Train-Stop Positions Along a Platform to Distribute the Passenger Load More Evenly Across Individual Cars,
ITS(14), No. 2, 2013, pp. 994-1002.
IEEE DOI 1307
genetic algorithms; crowding; public transport; train-stop location BibRef

Chen, D., Chen, R., Li, Y., Tang, T.,
Online Learning Algorithms for Train Automatic Stop Control Using Precise Location Data of Balises,
ITS(14), No. 3, 2013, pp. 1526-1535.
IEEE DOI 1309
Balise BibRef

Gao, S., Dong, H., Chen, Y., Ning, B., Chen, G., Yang, X.,
Approximation-Based Robust Adaptive Automatic Train Control: An Approach for Actuator Saturation,
ITS(14), No. 4, 2013, pp. 1733-1742.
IEEE DOI 1312
Actuators BibRef

Wang, H., Yu, F.R., Zhu, L., Tang, T., Ning, B.,
A Cognitive Control Approach to Communication-Based Train Control Systems,
ITS(16), No. 4, August 2015, pp. 1676-1689.
IEEE DOI 1508
Channel models BibRef

Li, L., Dong, W., Ji, Y., Zhang, Z., Tong, L.,
Minimal-Energy Driving Strategy for High-Speed Electric Train With Hybrid System Model,
ITS(14), No. 4, 2013, pp. 1642-1653.
IEEE DOI 1312
Cost function BibRef

Zhang, L., Zhuan, X.,
Braking-Penalized Receding Horizon Control of Heavy-Haul Trains,
ITS(14), No. 4, 2013, pp. 1620-1628.
IEEE DOI 1312
Computational modeling BibRef

Zhao, L.H.[Lin-Hai], Cai, B.G.[Bai-Gen], Xu, J.J.[Jun-Jie], Ran, Y.K.[Yi-Kui],
Study of the Track-Train Continuous Information Transmission Process in a High-Speed Railway,
ITS(15), No. 1, February 2014, pp. 112-121.
IEEE DOI 1403
rail traffic control BibRef

Li, Y.[Ying], Trinh, H.[Hoang], Haas, N.[Norman], Otto, C.[Charles], Pankanti, S.[Sharath],
Rail Component Detection, Optimization, and Assessment for Automatic Rail Track Inspection,
ITS(15), No. 2, April 2014, pp. 760-770.
IEEE DOI 1404
BibRef
Earlier: A2, A3, A1, A4, A5:
Enhanced rail component detection and consolidation for rail track inspection,
WACV12(289-295).
IEEE DOI 1203
Cameras BibRef

Trinh, H.[Hoang], Haas, N.[Norman], Pankanti, S.[Sharath],
Multisensor evidence integration and optimization in rail inspection,
ICPR12(886-889).
WWW Link. 1302
BibRef

Li, Y.[Ying], Otto, C.[Charles], Haas, N.[Norm], Fujiki, Y.C.[Yui-Chi], Pankanti, S.[Sharath],
Component-based track inspection using machine-vision technology,
ICMR11(60).
DOI Link 1301
inspection and condition monitoring of railroad tracks. BibRef

Song, Y., Song, Q., Cai, W.,
Fault-Tolerant Adaptive Control of High-Speed Trains Under Traction/Braking Failures: A Virtual Parameter-Based Approach,
ITS(15), No. 2, April 2014, pp. 737-748.
IEEE DOI 1404
Aerodynamics BibRef

Wang, Y., Song, Y., Gao, H., Lewis, F.L.,
Distributed Fault-Tolerant Control of Virtually and Physically Interconnected Systems With Application to High-Speed Trains Under Traction/Braking Failures,
ITS(17), No. 2, February 2016, pp. 535-545.
IEEE DOI 1602
Couplings BibRef

Liu, Z.[Zhen], Li, F.J.[Feng-Jiao], Huang, B.K.[Bang-Kui], Zhang, G.J.[Guang-Jun],
Real-time and accurate rail wear measurement method and experimental analysis,
JOSA-A(31), No. 8, August 2014, pp. 1721-1729.
DOI Link 1408
Optical instruments; Imaging systems; Machine vision optics BibRef

Molodova, M., Li, Z.L.[Zi-Li], Nunez, A., Dollevoet, R.,
Automatic Detection of Squats in Railway Infrastructure,
ITS(15), No. 5, October 2014, pp. 1980-1990.
IEEE DOI 1410
acceleration measurement BibRef

Ai, B.[Bo], Cheng, X.[Xiang], Kurner, T., Zhong, Z.D.[Zhang-Dui], Guan, K.[Ke], He, R.S.[Rui-Si], Xiong, L.[Lei], Matolak, D.W., Michelson, D.G., Briso-Rodriguez, C.,
Challenges Toward Wireless Communications for High-Speed Railway,
ITS(15), No. 5, October 2014, pp. 2143-2158.
IEEE DOI 1410
data communication BibRef

Kecman, P., Goverde, R.M.P.,
Online Data-Driven Adaptive Prediction of Train Event Times,
ITS(16), No. 1, February 2015, pp. 465-474.
IEEE DOI 1502
Adaptation models BibRef

Hung, R.[Raymond], King, B.[Bruce], Chen, W.[Wu],
Conceptual Issues Regarding the Development of Underground Railway Laser Scanning Systems,
IJGI(4), No. 1, 2015, pp. 185-198.
DOI Link 1502
BibRef

Salmane, H., Khoudour, L., Ruichek, Y.,
A Video-Analysis-Based Railway-Road Safety System for Detecting Hazard Situations at Level Crossings,
ITS(16), No. 2, April 2015, pp. 596-609.
IEEE DOI 1504
Accidents BibRef

Xu, P., Liu, R., Sun, Q., Jiang, L.,
Dynamic-Time-Warping-Based Measurement Data Alignment Model for Condition-Based Railroad Track Maintenance,
ITS(16), No. 2, April 2015, pp. 799-812.
IEEE DOI 1504
Data models BibRef

Lauer, M., Stein, D.,
A Train Localization Algorithm for Train Protection Systems of the Future,
ITS(16), No. 2, April 2015, pp. 970-979.
IEEE DOI 1504
Global Positioning System BibRef

Lu, D., Schnieder, E.,
Performance Evaluation of GNSS for Train Localization,
ITS(16), No. 2, April 2015, pp. 1054-1059.
IEEE DOI 1504
Accuracy BibRef

Elberink, S.O.[Sander Oude], Khoshelham, K.[Kourosh],
Automatic Extraction of Railroad Centerlines from Mobile Laser Scanning Data,
RS(7), No. 5, 2015, pp. 5565-5583.
DOI Link 1506
BibRef

Hodge, V.J., O'Keefe, S., Weeks, M., Moulds, A.,
Wireless Sensor Networks for Condition Monitoring in the Railway Industry: A Survey,
ITS(16), No. 3, June 2015, pp. 1088-1106.
IEEE DOI 1506
Base stations BibRef

Aytekin, C., Rezaeitabar, Y., Dogru, S., Ulusoy, I.,
Railway Fastener Inspection by Real-Time Machine Vision,
SMCS(45), No. 7, July 2015, pp. 1101-1107.
IEEE DOI 1506
Fasteners BibRef

Arastounia, M.[Mostafa],
Automated Recognition of Railroad Infrastructure in Rural Areas from LIDAR Data,
RS(7), No. 11, 2015, pp. 14916.
DOI Link 1512
BibRef

Wu, X.[Xiao], Yuan, P.[Ping], Peng, Q.A.[Qi-Ang], Ngo, C.W.[Chong-Wah], He, J.Y.[Jun-Yan],
Detection of bird nests in overhead catenary system images for high-speed rail,
PR(51), No. 1, 2016, pp. 242-254.
Elsevier DOI 1601
Bird nest detection BibRef

Liu, L., Zhou, F., He, Y.,
Vision-based fault inspection of small mechanical components for train safety,
IET-ITS(10), No. 2, 2016, pp. 130-139.
DOI Link 1602
automatic optical inspection BibRef

Hyde, P., Defossez, F., Ulianov, C.,
Development and testing of an automatic remote condition monitoring system for train wheels,
IET-ITS(10), No. 1, 2016, pp. 32-40.
DOI Link 1602
computational geometry BibRef

Rama, D., Andrews, J.D.,
Railway infrastructure asset management: The whole-system life cost analysis,
IET-ITS(10), No. 1, 2016, pp. 58-64.
DOI Link 1602
Monte Carlo methods BibRef

Gibert, X.[Xavier], Patel, V.M.[Vishal M.], Chellappa, R.[Rama],
Deep Multitask Learning for Railway Track Inspection,
ITS(18), No. 1, January 2017, pp. 153-164.
IEEE DOI 1701
BibRef
Earlier:
Robust Fastener Detection for Autonomous Visual Railway Track Inspection,
WACV15(694-701)
IEEE DOI 1503
BibRef
Earlier:
Sequential Score Adaptation with Extreme Value Theory for Robust Railway Track Inspection,
CVRoads15(131-138)
IEEE DOI 1602
BibRef
Earlier:
Material Classification and Semantic Segmentation of Railway Track Images with Deep Convolutional Neural Networks,
ICIP15(621-625)
IEEE DOI 1512
Detectors. Bayes methods. Deep Convolutional Neural Networks BibRef


Daoust, T.[Tyler], Pomerleau, F.[François], Barfoot, T.[Timothy],
Light at the End of the Tunnel: High-Speed LiDAR-Based Train Localization in Challenging Underground Environments,
CRV16(93-100)
IEEE DOI 1612
Award, Best Robotics Paper. lidar; localization; mapping; train BibRef

Flammini, F.[Francesco], Naddei, R.[Riccardo], Pragliola, C.[Concetta], Smarra, G.[Giovanni],
Towards Automated Drone Surveillance in Railways: State-of-the-Art and Future Directions,
ACIVS16(336-348).
Springer DOI 1611
BibRef

Brunke, S.[Suzanne], Aubé, G.[Guy], Legaré, S.[Serge], Auger, C.[Claude],
Analysis And Remediation Of The 2013 Lac-mÉgantic Train Derailment,
ISPRS16(B8: 17-23).
DOI Link 1610
BibRef

Han, Y., Liu, Z., Lee, D.J., Zhang, G., Deng, M.,
High-speed railway rod-insulator detection using segment clustering and deformable part models,
ICIP16(3852-3856)
IEEE DOI 1610
Cameras BibRef

Santur, Y., Karaköse, M., Aydin, I., Akin, E.,
IMU based adaptive blur removal approach using image processing for railway inspection,
WSSIP16(1-4)
IEEE DOI 1608
image processing BibRef

Ma, K., Vicente, T.F.Y., Samaras, D., Petrucci, M., Magnus, D.L.,
Texture classification for rail surface condition evaluation,
WACV16(1-9)
IEEE DOI 1606
Image edge detection BibRef

Dwarakanath, D.[Deepak], Griwodz, C.[Carsten], Halvorsen, P.[Pål], Lildballe, J.[Jacob],
Online Re-calibration for Robust 3D Measurement Using Single Camera: PantoInspect Train Monitoring System,
CVS15(498-510).
Springer DOI 1507
BibRef

Berg, A.[Amanda], Öfjäll, K.[Kristoffer], Ahlberg, J.[Jörgen], Felsberg, M.[Michael],
Detecting Rails and Obstacles Using a Train-Mounted Thermal Camera,
SCIA15(492-503).
Springer DOI 1506
BibRef

Aminmansour, S., Maire, F., Larue, G.S., Wullems, C.,
Improving Near-Miss Event Detection Rate at Railway Level Crossings,
DICTA15(1-8)
IEEE DOI 1603
BibRef
Earlier: A1, A2, A4, Only:
Near-Miss Event Detection at Railway Level Crossings,
DICTA14(1-8)
IEEE DOI 1502
image sensors. railway industry BibRef

Soni, A., Robson, S., Gleeson, B.,
Extracting Rail Track Geometry from Static Terrestrial Laser Scans for Monitoring Purposes,
CloseRange14(553-557).
DOI Link 1411
BibRef

di Leo, G.[Giuseppe], Lengu, R.[Roald], Mazzino, N.[Nadia],
Pattern Recognition for Defect Detection in Uncontrolled Environment Railway Applications,
CIAP13(II:753-757).
Springer DOI 1309
BibRef

Li, Y.[Ying], Pankanti, S.[Sharath],
Anomalous tie plate detection for railroad inspection,
ICPR12(3017-3020).
WWW Link. 1302
BibRef

Soukup, D.[Daniel], Huber-Mörk, R.[Reinhold],
Cross-Channel Co-occurrence Matrices for Robust Characterization of Surface Disruptions in 21/2D Rail Image Analysis,
ACIVS12(167-177).
Springer DOI 1209
BibRef

Kremer, J., Grimm, A.,
The Railmapper: A Dedicated Mobile Lidar Mapping System for Railway Networks,
ISPRS12(XXXIX-B5:477-482).
DOI Link 1209
BibRef

Kohut, P., Mikrut, S., Pyka, K., Tokarczyk, R., Uhl, T.,
Research On The Prototype of Rail Clearance Measurement System,
ISPRS12(XXXIX-B4:385-389).
DOI Link 1209
BibRef

Maire, F., Bigdeli, A.,
Obstacle-free range determination for rail track maintenance vehicles,
ICARCV10(2172-2178).
IEEE DOI 1109
BibRef

Gschwandtner, M.[Michael], Pree, W.[Wolfgang], Uhl, A.[Andreas],
Track Detection for Autonomous Trains,
ISVC10(III: 19-28).
Springer DOI 1011
BibRef

Huber-Mörk, R.[Reinhold], Nölle, M.[Michael], Oberhauser, A.[Andreas], Fischmeister, E.[Edgar],
Statistical Rail Surface Classification Based on 2D and 2-1/2D Image Analysis,
ACIVS10(I: 50-61).
Springer DOI 1012
BibRef

Kong, Q.J.[Qing-Jie], Kumar, A.[Avinash], Ahuja, N.[Narendra], Liu, Y.C.[Yun-Cai],
Robust segmentation of freight containers in train monitoring videos,
WACV09(1-6).
IEEE DOI 0912
BibRef

Petitjean, C.[Caroline], Heutte, L.[Laurent], Kouadio, R.[Régis], Delcourt, V.[Vincent],
Automatic Extraction of Droppers in Catenary Scenes,
MVA09(497-).
PDF File. 0905
BibRef
And:
A Top-Down Approach for Automatic Dropper Extraction in Catenary Scenes,
IbPRIA09(225-232).
Springer DOI 0906
Inspection of railroad bridges. BibRef

Maire, F.[Frederic],
Vision based anti-collision system for rail track maintenance vehicles,
AVSBS07(170-175).
IEEE DOI 0709
BibRef

Kim, H.C.[Hyun-Chul], Baek, Y.M.[Yeul-Min], Kim, S.G.[Sun-Gi], Park, J.G.[Jong-Guk], Kim, W.Y.[Whoi-Yul],
Measurement of the Position of the Overhead Electric-Railway Line Using the Stereo Images,
MIRAGE07(506-515).
Springer DOI 0703
BibRef

Kumar, A., Ahuja, N., Hart, J.M., Visesh, U.K., Narayanan, P.J., Jawahar, C.V.,
A Vision System for Monitoring Intermodal Freight Trains,
WACV07(24-24).
IEEE DOI 0702
BibRef

Geistler, A., Bohringer, F.,
Robust velocity measurement for railway applications by fusing eddy current sensor signals,
IVS04(664-669).
WWW Link. 0411
BibRef

Garcia, J.J., Hernandez, A., Urena, J., Garcia, J.C., Mazo, M., Lazaro, J.L., Perez, M.C., Alvarez, F.J.,
Low cost obstacle detection for smart railway infrastructures,
IVS04(670-675).
WWW Link. 0411
BibRef

Deutschl, E., Gasser, C., Niel, A., Werschonig, J.,
Defect detection on rail surfaces by a vision based system,
IVS04(507-511).
WWW Link. 0411
BibRef

Moretti, M., Triglia, M., Maffei, G.,
ARCHIMEDE: The first European diagnostic train for global monitoring of railway infrastructure,
IVS04(522-526).
WWW Link. 0411
BibRef

Blug, A., Baulig, C., Wolfelschneider, H., Hofler, H.,
Fast fiber coupled clearance profile scanner using real time 3D data processing with automatic rail detection,
IVS04(658-663).
WWW Link. 0411
BibRef

Alvarez, F.J., Urena, J., Mazo, M., Hernandez, A., Garcia, J.J., Donato, P.G.,
Ultrasonic sensor system for detecting falling objects on railways,
IVS04(866-871).
WWW Link. 0411
BibRef

Donato, P.G., Urena, J., Mazo, M., Alvarez, F.J.,
Train wheel detection without electronic equipment near the rail line,
IVS04(876-880).
WWW Link. 0411
BibRef

Vazquez, J., Mazo, M., Lazaro, J.L., Luna, C.A., Urena, J., Garcia, J.J., Cabello, J., Hierrezuelo, L.,
Detection of moving objects in railway using vision,
IVS04(872-875).
WWW Link. 0411
BibRef


Last update:Mar 13, 2017 at 16:25:24