24.1.4 Road Junctions, Road Intersections

Chapter Contents (Back)
Road Network. Road Detection. Recognize Roads. Line Detection. Junctions. Intersections. Aerial Image Analysis.

Mackaness, W.A.[William A.], Mackechnie, G.A.[Gordon A.],
Automating the Detection and Simplification of Junctions in Road Networks,
GeoInfo(3), No. 2, June 1999, pp. 185-200.
DOI Link BibRef 9906

Hu, X.Y.[Xiang-You], Tao, V.[Vincent],
Automatic Extraction of Main Road Centerlines from High Resolution Satellite Imagery Using Hierarchical Grouping,
PhEngRS(73), No. 9, September 2007, pp. 1049-1056.
WWW Link. 0709
To efficiently and reliably extract the main road network from high-resolution satellite imagery, a hierarchical grouping approach is proposed to generate long collinear main road centerlines from fragmented road segments. BibRef

Hu, J.X.[Jiu-Xiang], Razdan, A.[Anshuman], Femiani, J.C.[John C.], Cui, M.[Ming], Wonka, P.[Peter],
Road Network Extraction and Intersection Detection From Aerial Images by Tracking Road Footprints,
GeoRS(45), No. 12, December 2007, pp. 4144-4157.
IEEE DOI 0711
BibRef
Earlier: A1, A2, A3, A5, A4:
Fourier Shape Descriptors of Pixel Footprints for Road Extraction from Satellite Images,
ICIP07(I: 49-52).
IEEE DOI 0709
BibRef

Chiang, Y.Y.[Yao-Yi], Knoblock, C.A.[Craig A.], Shahabi, C.[Cyrus], Chen, C.C.[Ching-Chien],
Automatic and Accurate Extraction of Road Intersections from Raster Maps,
GeoInfo(13), No. 2, June 2009, pp. xx-yy.
Springer DOI 0903

See also Approach for Recognizing Text Labels in Raster Maps, An. BibRef

Leninisha, S.[Shanmugam], Vani, K.[Kaliaperumal],
Junction-aware water flow approach for urban road network extraction,
IET-IP(10), No. 3, 2016, pp. 227-234.
DOI Link 1603
feature extraction BibRef

Xie, X.Z.[Xing-Zhe], Liao, W.Z.[Wen-Zhi], Aghajan, H.[Hamid], Veelaert, P.[Peter], Philips, W.[Wilfried],
Detecting Road Intersections from GPS Traces Using Longest Common Subsequence Algorithm,
IJGI(6), No. 1, 2017, pp. xx-yy.
DOI Link 1702
BibRef

Li, L.[Lin], Li, D.G.[Dai-Gang], Xing, X.Y.[Xiao-Yu], Yang, F.[Fan], Rong, W.[Wei], Zhu, H.H.[Hai-Hong],
Extraction of Road Intersections from GPS Traces Based on the Dominant Orientations of Roads,
IJGI(6), No. 12, 2017, pp. xx-yy.
DOI Link 1801
BibRef

Xie, X.Z.[Xing-Zhe], Philips, W.[Wilfried],
Road Intersection Detection through Finding Common Sub-Tracks between Pairwise GNSS Traces,
IJGI(6), No. 10, 2017, pp. xx-yy.
DOI Link 1710
BibRef

Yang, J.T.[Jian-Ting], Zhao, K.Y.[Kong-Yang], Li, M.[Muzi], Xu, Z.[Zhu], Li, Z.L.[Zhi-Lin],
Identifying Complex Junctions in a Road Network,
IJGI(10), No. 1, 2021, pp. xx-yy.
DOI Link 2101
BibRef

Lorek, D.[Dariusz], Horbinski, T.[Tymoteusz],
Interactive Web-Map of the European Freeway Junction A1/A4 Development with the Use of Archival Cartographic Sources,
IJGI(9), No. 7, 2020, pp. xx-yy.
DOI Link 2007
BibRef

Kong, L.[Liang], He, Z.W.[Zheng-Wei], Chen, Z.S.[Zhong-Sheng], Luo, M.L.[Ming-Liang], Du, Z.[Zhong], Zhu, F.Q.[Fu-Quan], He, L.[Li],
Spatial Distribution and Morphological Identification of Regional Urban Settlements Based on Road Intersections,
IJGI(10), No. 4, 2021, pp. xx-yy.
DOI Link 2104
BibRef

Erramaline, A.[Abdelmajid], Badard, T.[Thierry], Côté, M.P.[Marie-Pier], Duchesne, T.[Thierry], Mercier, O.[Olivier],
Identification of Road Network Intersection Types from Vehicle Telemetry Data Using a Convolutional Neural Network,
IJGI(11), No. 9, 2022, pp. xx-yy.
DOI Link 2209
BibRef

Liu, Y.Z.[Yi-Zhi], Qing, R.[Rutian], Zhao, Y.J.[Yi-Jiang], Liao, Z.H.[Zhu-Hua],
Road Intersection Recognition via Combining Classification Model and Clustering Algorithm Based on GPS Data,
IJGI(11), No. 9, 2022, pp. xx-yy.
DOI Link 2209
BibRef

Yang, M.[Min], Cheng, L.Y.[Ling-Ya], Cao, M.J.[Min-Jun], Yan, X.F.[Xiong-Feng],
A Stacking Ensemble Learning Method to Classify the Patterns of Complex Road Junctions,
IJGI(11), No. 10, 2022, pp. xx-yy.
DOI Link 2211
BibRef

Li, S.[Shuang], Liu, C.S.[Chun-Sheng], Chen, L.[Luchang],
Arbitrary-oriented traffic participant detection and axis prediction for complex crossing road in aerial view,
IET-ITS(17), No. 12, 2023, pp. 2419-2431.
DOI Link 2312
computer vision, image processing, intelligent transportation systems, object detection, neural net architecture BibRef


Xu, L.N.[Lin-Ning], Xiangli, Y.B.[Yuan-Bo], Rao, A.[Anyi], Zhao, N.X.[Nan-Xuan], Dai, B.[Bo], Liu, Z.W.[Zi-Wei], Lin, D.[Dahua],
BlockPlanner: City Block Generation with Vectorized Graph Representation,
ICCV21(5057-5066)
IEEE DOI 2203
Structural rings, Visualization, Shape, Network topology, Computational modeling, Urban areas, Vision + other modalities BibRef

Zairudin, N.R.F., Hassan, A.S., Arab, Y., Witchayangkoon, B., Seangklieng, K.,
Layout Plan Analysis on Urban Pathways, Nodes and Edges in Kuala Muda Fishing Village,
SmartCityApp21(565-571).
DOI Link 2201
BibRef

Li, P., Li, Y., Feng, J., Ma, Z., Li, X.,
Automatic Detection and Recognition of Road Intersections for Road Extraction From Imagery,
ISPRS20(B3:113-117).
DOI Link 2012
BibRef

Tan, Y., Gao, S., Li, X., Cheng, M., Ren, B.,
VecRoad: Point-Based Iterative Graph Exploration for Road Graphs Extraction,
CVPR20(8907-8915)
IEEE DOI 2008
Roads, Junctions, Image segmentation, Training, Neural networks, Gaussian distribution, Iterative methods BibRef

Costea, D., Marcu, A., Slusanschi, E., Leordeanu, M.,
Roadmap Generation using a Multi-stage Ensemble of Deep Neural Networks with Smoothing-Based Optimization,
DeepGlobe18(210-2104)
IEEE DOI 1812
Roads, Training, Image segmentation, Optimization, Task analysis, Junctions, Testing BibRef

Bastani, F., He, S., Abbar, S., Alizadeh, M., Balakrishnan, H., Chawla, S., Madden, S., DeWitt, D.,
RoadTracer: Automatic Extraction of Road Networks from Aerial Images,
CVPR18(4720-4728)
IEEE DOI 1812
Roads, Image segmentation, Urban areas, Junctions, Training, Error analysis, Noise measurement BibRef

Costea, D.[Dragos], Leordeanu, M.[Marius],
Aerial image geolocalization from recognition and matching of roads and intersections,
BMVC16(xx-yy).
HTML Version. 1805
BibRef

Chai, D.F.[Deng-Feng], Forstner, W.[Wolfgang], Lafarge, F.[Florent],
Recovering Line-Networks in Images by Junction-Point Processes,
CVPR13(1894-1901)
IEEE DOI 1309
BibRef

Ravanbakhsh, M., Heipke, C., Pakzad, K.,
Extraction of Road Junction Islands from High Resolution Aerial Imagery Using Level Sets,
ISPRS08(B3a: 209 ff).
PDF File. 0807
BibRef
Earlier:
Road Junction Extraction from High Resolution Aerial Images,
PIA07(131).
PDF File. 0711

See also Accurate Reconstruction of Near-Epipolar Line Segments from Stereo Aerial Images. BibRef

Barsi, A., Heipke, C.,
Artificial Neural Networks for the Detection of Road Junctions in Aerial Images,
PIA05(xx-yy).
PDF File. 0509
BibRef

Ravanbakhsh, M.[Mehdi], Fraser, C.S.[Clive S.],
Road Roundabout Extraction from Very High Resolution Aerial Imagery,
CMRT09(19-26).
PDF File. 0909
BibRef

Chapter on Cartography, Aerial Images, Buildings, Roads, Terrain, Forests, Trees, ATR continues in
Road Following, Road Tracking Systems, Connecting Fragments, Extracting Fragments .


Last update:Apr 10, 2024 at 09:54:40