23.1.2 Road Detection from Vehicle Tracking, GPS, etc.

Chapter Contents (Back)
Road Network. Road Detection. GPS.

Koch, W., Koller, J., Ulmke, M.,
Ground target tracking and road map extraction,
PandRS(61), No. 3-4, December 2006, pp. 197-208.
Elsevier DOI 0703
Tracking; Road extraction; Ground Moving Target Indicator (GMTI); Retrodiction; MHT (Multi-Hypotheses Tracking); Sequential track extraction BibRef

Koch, W., Ulmke, M.,
On Tracking-Driven Road Map Extraction from GMTI Radar Data,
CMRT05(xx-yy).
PDF File. 0508
BibRef

Naranjo, J.E., Jiminez, F., Serradilla, F.J., Zato, J.G.,
Floating Car Data Augmentation Based on Infrastructure Sensors and Neural Networks,
ITS(13), No. 1, March 2012, pp. 107-114.
IEEE DOI 1203
BibRef

He, Z.C., Xi-wei, S., Zhuang, L.J., Nie, P.L.,
On-line map-matching framework for floating car data with low sampling rate in urban road networks,
IET-ITS(7), No. 4, December 2013, pp. 404-414.
DOI Link 1402
Global Positioning System BibRef

Chen, L.[Ling], Tang, Y.L.[Yan-Lin], Lv, M.Q.[Ming-Qi], Chen, G.C.[Gen-Cai],
Partition-based range query for uncertain trajectories in road networks,
GeoInfo(19), No. 1, January 2015, pp. 61-84.
WWW Link. 1503
BibRef

Xie, X.Z.[Xing-Zhe], Wong, K.B.Y.[Kevin Bing-Yung], Aghajan, H.[Hamid], Veelaert, P.[Peter], Philips, W.[Wilfried],
Inferring Directed Road Networks from GPS Traces by Track Alignment,
IJGI(4), No. 4, 2015, pp. 2446.
DOI Link 1601
BibRef

Song, G.H.[Guo-Hua], Zhang, F.[Fan], Liu, J.[Jun], Yu, L.[Liu], Gao, Y.[Yong], Yu, L.[Lei],
Floating car data-based method for detecting flooding incident under grade separation bridges in Beijing,
IET-ITS(9), No. 8, 2015, pp. 817-823.
DOI Link 1511
bridges (structures) BibRef

Yuan, J.Y.[Jiang-Ye], Cheriyadat, A.M.[Anil M.],
Image feature based GPS trace filtering for road network generation and road segmentation,
MVA(27), No. 1, January 2016, pp. 1-12.
WWW Link. 1601
From gps data, not the image. BibRef

Zhang, Q., Zheng, H., Lan, J., An, J., Peng, H.,
An Autonomous Information Collection and Dissemination Model for Large-Scale Urban Road Networks,
ITS(17), No. 4, April 2016, pp. 1085-1095.
IEEE DOI 1604
Automobiles BibRef

Zhang, Y.C.[Yong-Chuan], Liu, J.P.[Ji-Ping], Qian, X.[Xinlin], Qiu, A.[Agen], Zhang, F.[Fuhao],
An Automatic Road Network Construction Method Using Massive GPS Trajectory Data,
IJGI(6), No. 12, 2017, pp. xx-yy.
DOI Link 1801
BibRef

Liu, X., Liu, K., Li, M., Lu, F.,
A ST-CRF Map-Matching Method for Low-Frequency Floating Car Data,
ITS(18), No. 5, May 2017, pp. 1241-1254.
IEEE DOI 1705
Automobiles, Global Positioning System, Hidden Markov models, Information systems, Roads, Training, Trajectory, Map matching, conditional random field, floating car data, label-bias problem, robustness, trajectory BibRef

Cerqueira, V., Moreira-Matias, L., Khiari, J., van Lint, H.,
On Evaluating Floating Car Data Quality for Knowledge Discovery,
ITS(19), No. 11, November 2018, pp. 3749-3760.
IEEE DOI 1812
data mining, intelligent transportation systems, learning (artificial intelligence), road traffic, trajectory mining BibRef

Li, X.L.[Xiao-Long], Wu, Y.Z.[Yu-Zhen], Tan, Y.B.[Yong-Bin], Cheng, P.G.[Peng-Gen], Wu, J.[Jing], Wang, Y.Q.[Yu-Qian],
Method Based on Floating Car Data and Gradient-Boosted Decision Tree Classification for the Detection of Auxiliary Through Lanes at Intersections,
IJGI(7), No. 8, 2018, pp. xx-yy.
DOI Link 1809
BibRef

Ni, Z.Y.[Zhong-Yi], Xie, L.J.[Li-Jun], Xie, T.[Tian], Shi, B.[Binhua], Zheng, Y.[Yao],
Incremental Road Network Generation Based on Vehicle Trajectories,
IJGI(7), No. 10, 2018, pp. xx-yy.
DOI Link 1811
BibRef

Oloo, F.[Francis],
Mapping Rural Road Networks from Global Positioning System (GPS) Trajectories of Motorcycle Taxis in Sigomre Area, Siaya County, Kenya,
IJGI(7), No. 8, 2018, pp. xx-yy.
DOI Link 1809
BibRef

Hashemi, M.,
Automatic Inference of Road and Pedestrian Networks From Spatial-Temporal Trajectories,
ITS(20), No. 12, December 2019, pp. 4604-4620.
IEEE DOI 2001
Global Positioning System, Roads, Image segmentation, Turning, Detectors, Data mining, Network construction, GPS data, artificial intelligence BibRef

Li, D.[Daigang], Li, J.[Junhan], Li, J.[Juntao],
Road Network Extraction from Low-Frequency Trajectories Based on a Road Structure-Aware Filter,
IJGI(8), No. 9, 2019, pp. xx-yy.
DOI Link 1909
BibRef

Zheng, L.[Ling], Song, H.S.[Hua-Shan], Li, B.[Bijun], Zhang, H.J.[Hong-Juan],
Generation of Lane-Level Road Networks Based on a Trajectory-Similarity-Join Pruning Strategy,
IJGI(8), No. 9, 2019, pp. xx-yy.
DOI Link 1909
BibRef

Zhang, Y.F.[Yun-Fei], Zhang, Z.X.[Ze-Xu], Huang, J.C.[Jin-Cai], She, T.T.[Ting-Ting], Deng, M.[Min], Fan, H.C.[Hong-Chao], Xu, P.[Peng], Deng, X.S.[Xing-Shen],
A Hybrid Method to Incrementally Extract Road Networks Using Spatio-Temporal Trajectory Data,
IJGI(9), No. 4, 2020, pp. xx-yy.
DOI Link 2005
BibRef

Pan, S.M.[Shao-Ming], Li, Z.Y.[Zi-Ying], Chong, Y.W.[Yan-Wen],
Location Extraction and Prediction Method Based on Floating Car Spatial-Temporal Trajectory,
IJGI(9), No. 5, 2020, pp. xx-yy.
DOI Link 2005
BibRef

Chen, H.X.[Hao-Xuan], Tao, F.[Fei], Ma, P.L.[Pei-Long], Gao, L.N.[Li-Na], Zhou, T.[Tong],
Applicability Evaluation of Several Spatial Clustering Methods in Spatiotemporal Data Mining of Floating Car Trajectory,
IJGI(10), No. 3, 2021, pp. xx-yy.
DOI Link 2104
BibRef

Zhang, J., Hu, Q., Li, J., Ai, M.,
Learning From GPS Trajectories of Floating Car for CNN-Based Urban Road Extraction With High-Resolution Satellite Imagery,
GeoRS(59), No. 3, March 2021, pp. 1836-1847.
IEEE DOI 2103
Roads, Automobiles, Global Positioning System, Trajectory, Data mining, Remote sensing, Training, road extraction BibRef


Mi, C., Lu, F.,
A Method of Urban Road Network Extraction Based On Floating Car Trajectory Data,
C3MGBD19(1579-1585).
DOI Link 1912
BibRef

Shi, Y., Shibasaki, R., Shi, Z.C.,
Towards Automatic Road Mapping by Fusing Vehicle-Borne Multi-Sensor Data,
ISPRS08(B5: 867 ff).
PDF File. 0807
BibRef

Hinz, S.[Stefan],
Integrating Local and Global Features for Vehicle Detection in High Resolution Aerial Imagery,
PIA05(xx-yy).
PDF File. 0509
BibRef

Chapter on Cartography, Aerial Images, Buildings, Roads, Terrain, Forests, Trees, ATR continues in
Road Junctions, Road Intersections .


Last update:Oct 24, 2021 at 16:35:58