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US_Patent6,064,428, May 16, 2000
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MVA(15), No. 4, October 2004, pp. 179-185.
Springer DOI
0410
BibRef
Mandriota, C.,
Stella, E.,
Nitti, M.,
Ancona, N.,
Distante, A.,
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ICIP01(II: 626-628).
IEEE DOI
0108
BibRef
Labarile, A.,
Stella, E.,
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Distante, A.,
Ballast 3D reconstruction by a matching pursuit based stereo matcher,
IVS04(653-657).
IEEE DOI
0411
BibRef
Mazzeo, P.L.,
Nitti, M.,
Stella, E.,
Distante, A.,
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PRL(25), No. 6, 19 April 2004, pp. 669-677.
Elsevier DOI
0405
BibRef
Kim, Z.[ZuWhan],
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Pseudoreal-time activity detection for railroad grade-crossing safety,
ITS(5), No. 4, December 2004, pp. 319-324.
IEEE Abstract.
0501
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Marino, F.[Francescomaria],
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Stella, E.[Ettore],
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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
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IEICE(E95-D), No. 2, February 2012, pp. 690-693.
WWW Link.
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Hernandez, A.,
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Jimenez, A.,
Garcia, J.C.,
Espinosa, F.,
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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],
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Thresholding Based on Maximum Weighted Object Correlation for Rail
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IEICE(E95-D), No. 7, July 2012, pp. 1819-1822.
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1208
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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],
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Freight train gauge-exceeding detection based on three-dimensional
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1303
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Shafiullah, G.M.,
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Ali, A.B.M.S.,
Energy-Efficient Wireless MAC Protocols for
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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
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ITS(15), No. 3, June 2014, pp. 1083-1090.
IEEE DOI
1407
Antenna measurements
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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
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
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Trinh, H.[Hoang],
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Pankanti, S.[Sharath],
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ICPR12(886-889).
WWW Link.
1302
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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
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
Espinosa, F.,
Hernández, Á.,
Mazo, M.,
Ureña, J.,
Pérez, M.C.,
Jiménez, J.A.,
Fernández, I.,
García, J.C.,
García, J.J.,
Detector of Electrical Discontinuity of Rails in Double-Track Railway
Lines: Electronic System and Measurement Methodology,
ITS(18), No. 4, April 2017, pp. 743-755.
IEEE DOI
1704
Degradation
BibRef
Benedetto, F.,
Tosti, F.,
Alani, A.M.,
An Entropy-Based Analysis of GPR Data for the Assessment of Railway
Ballast Conditions,
GeoRS(55), No. 7, July 2017, pp. 3900-3908.
IEEE DOI
1706
Electronic ballasts, Entropy, Ground penetrating radar,
Radar tracking, Rail transportation, Rails, Receiving antennas,
Ballast fouling, entropy, ground penetrating radar (GPR),
performance analysis, railway, ballast
BibRef
Wang, F.,
Xu, T.,
Tang, T.,
Zhou, M.,
Wang, H.,
Bilevel Feature Extraction-Based Text Mining for Fault Diagnosis of
Railway Systems,
ITS(18), No. 1, January 2017, pp. 49-58.
IEEE DOI
1701
Fault diagnosis
BibRef
Dai, P.[Peng],
Wang, S.C.[Sheng-Chun],
Huang, Y.P.[Ya-Ping],
Wang, H.[Hao],
Du, X.Y.[Xin-Yu],
Han, Q.A.[Qi-Ang],
Visual Indexing of Large Scale Train-Borne Video for Rail Condition
Perceiving,
IEICE(E100-D), No. 9, September 2017, pp. 2017-2026.
WWW Link.
1709
BibRef
Mao, Z.,
Tao, G.,
Jiang, B.,
Yan, X.G.,
Adaptive Compensation of Traction System Actuator Failures for
High-Speed Trains,
ITS(18), No. 11, November 2017, pp. 2950-2963.
IEEE DOI
1711
Actuators, Adaptation models, Adaptive systems, Dynamics, Force,
Mathematical model, Resistance, Actuator failures,
adaptive control, failure compensation, high-speed train
BibRef
Gao, M.,
Wang, P.,
Wang, Y.,
Yao, L.,
Self-Powered ZigBee Wireless Sensor Nodes for Railway Condition
Monitoring,
ITS(19), No. 3, March 2018, pp. 900-909.
IEEE DOI
1804
Magnetic levitation, Monitoring, Rail transportation, Rails,
Wireless communication, Wireless sensor networks, ZigBee,
wireless sensor networks
BibRef
Krummenacher, G.,
Ong, C.S.,
Koller, S.,
Kobayashi, S.,
Buhmann, J.M.,
Wheel Defect Detection With Machine Learning,
ITS(19), No. 4, April 2018, pp. 1176-1187.
IEEE DOI
1804
Force measurement, Learning systems, Rail transportation,
Strain measurement, Vibrations, Wavelet transforms, Wheels,
wavelet transforms
BibRef
Fontul, S.[Simona],
Paixão, A.[André],
Solla, M.[Mercedes],
Pajewski, L.[Lara],
Railway Track Condition Assessment at Network Level by Frequency
Domain Analysis of GPR Data,
RS(10), No. 4, 2018, pp. xx-yy.
DOI Link
1805
BibRef
Fan, H.,
Cosman, P.C.,
Hou, Y.,
Li, B.,
High-Speed Railway Fastener Detection Based on a Line Local Binary
Pattern,
SPLetters(25), No. 6, June 2018, pp. 788-792.
IEEE DOI
1806
fasteners, feature extraction, image classification, image sensors,
image texture, object detection, railways, center point,
visual inspection
BibRef
Zhou, F.Q.A.[Fu-Qi-Ang],
Song, Y.[Ya],
Liu, L.[Liu],
Zheng, D.T.[Dong-Tian],
Automated visual inspection of target parts for train safety based on
deep learning,
IET-ITS(12), No. 6, August 2018, pp. 550-555.
DOI Link
1807
BibRef
Mao, Q.Z.[Qing-Zhou],
Cui, H.[Hao],
Hu, Q.W.[Qing-Wu],
Ren, X.C.[Xiao-Chun],
A rigorous fastener inspection approach for high-speed railway from
structured light sensors,
PandRS(143), 2018, pp. 249-267.
Elsevier DOI
1808
High-speed railway, Fastener inspection,
Structured light sensor, Dense point cloud, Decision tree,
Centerline extraction
BibRef
Wang, H.F.[Hai-Feng],
Zhao, N.[Ning],
Ning, B.[Bin],
Tang, T.[Tao],
Chai, M.[Ming],
Safety monitor for train-centric CBTC system,
IET-ITS(12), No. 8, October 2018, pp. 931-938.
DOI Link
1809
BibRef
Lou, Y.D.[Yi-Dong],
Zhang, T.[Tian],
Tang, J.[Jian],
Song, W.W.[Wei-Wei],
Zhang, Y.[Yi],
Chen, L.[Liang],
A Fast Algorithm for Rail Extraction Using Mobile Laser Scanning Data,
RS(10), No. 12, 2018, pp. xx-yy.
DOI Link
1901
BibRef
Chen, H.,
Jiang, B.,
Lu, N.,
A Newly Robust Fault Detection and Diagnosis Method for High-Speed
Trains,
ITS(20), No. 6, June 2019, pp. 2198-2208.
IEEE DOI
1906
Principal component analysis, Fault detection, Robustness, Sensors,
Aging, Probability density function, Sensitivity, Incipient faults,
high-speed trains
BibRef
Liu, H.,
Chang, Y.,
Li, Z.,
Zhong, S.,
Yan, L.,
Directional-Aware Automatic Defect Detection in High-Speed Railway
Catenary System,
ICIP19(3930-3934)
IEEE DOI
1910
directional-aware, attention, defect detection, dropper, catenary system
BibRef
Ciampoli, L.B.[Luca Bianchini],
Calvi, A.[Alessandro],
D'Amico, F.[Fabrizio],
Railway Ballast Monitoring by GPR: A Test-Site Investigation,
RS(11), No. 20, 2019, pp. xx-yy.
DOI Link
1910
BibRef
Hu, F.M.[Feng-Ming],
van Leijen, F.J.[Freek J.],
Chang, L.[Ling],
Wu, J.[Jicang],
Hanssen, R.F.[Ramon F.],
Monitoring Deformation along Railway Systems Combining Multi-Temporal
InSAR and LiDAR Data,
RS(11), No. 19, 2019, pp. xx-yy.
DOI Link
1910
BibRef
Nicodeme, C.,
Stanciulescu, B.,
Pollution Detection on Rail Surface for Adhesion Evaluation Using
Multispectral Images,
DICTA17(1-6)
IEEE DOI
1804
adhesion, image processing, matrix decomposition,
pattern clustering, pollution, rails, railway engineering,
Surface contamination
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,
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