The DOI matches its Crossref record; 44 of the 48 references it cites were found in a registry or an index.
A deep learning framework for road marking extraction, classification and completion from mobile laser scanning point clouds
Overview
Integrity signals
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Claims the paper makes
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
In the citing paper
“FL decision support systems were applied to problems such as routing, fraud prevention, and mobility on-demand (Liyanage et al., 2019; Wen et al., 2019).”
From Artificial intelligence for sustainability: Challenges, opportunities, and a research agenda (2020) · cites this paper as Wen et al., 2019
Citations
Cites
U-Net: Convolutional Networks for Biomedical Image Segmentation
Ronneberger, O., Fischer, P., & Brox, T. (2015) · Lecture notes in computer science · doi:10.1007/978-3-319-24574-4_28 · Cited by 99,404
A Threshold Selection Method from Gray-Level Histograms
Otsu, N. (1979) · IEEE Transactions on Systems, Man and Cybernetics · doi:10.1109/tsmc.1979.4310076 · Cited by 44,708
Rethinking the Inception Architecture for Computer Vision
Szegedy, C., Vanhoucke, V., Ioffe, S., Shlens, J., & Wojna, Z. (2016) · 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR) · doi:10.1109/cvpr.2016.308 · Cited by 32,138
Image-to-Image Translation with Conditional Adversarial Networks
Isola, P., Zhu, J.-Y., Zhou, T., & Efros, A. A. (2017) · 2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR) · doi:10.1109/cvpr.2017.632 · Cited by 22,930
Proceedings of IEEE Conference on Computer Vision and Pattern Recognition
(1993) · doi:10.1109/cvpr.1993 · Cited by 17,989
Context Encoders: Feature Learning by Inpainting
Pathak, D., Krahenbuhl, P., Donahue, J., Darrell, T., & Efros, A. A. (2016) · 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR) · doi:10.1109/cvpr.2016.278 · Cited by 5,691
Reconstruction and representation of 3D objects with radial basis functions
Carr, J. C., Beatson, R. K., Cherrie, J. B., Mitchell, T. J., Fright, W. R., McCallum, B. C., & Evans, T. R. (2001) · Proceedings of the 28th annual conference on Computer graphics and interactive techniques · doi:10.1145/383259.383266 · Cited by 1,852 · cited 2×
“, 2003) or Radial Basis Functions (Carr et al., 2001), etc.”
BackgroundSpatial as Deep: Spatial CNN for Traffic Scene Understanding
Pan, X., Shi, J., Luo, P., Wang, X., & Tang, X. (2018) · Proceedings of the AAAI Conference on Artificial Intelligence · doi:10.1609/aaai.v32i1.12301 · Cited by 1,243
Computing and rendering point set surfaces
Alexa, M., Behr, J., Cohen‐Or, D., Fleishman, S., Levin, D., & Silva, C. T. (2003) · IEEE Transactions on Visualization and Computer Graphics · doi:10.1109/tvcg.2003.1175093 · Cited by 1,094
Multi-level partition of unity implicits
Ohtake, Y., Belyaev, A. G., Alexa, M., Turk, G., & Seidel, H. (2005) · ACM SIGGRAPH Conference (SIGGRAPH) · doi:10.1145/1198555.1198649 · Cited by 723
Cited by
Sorted by citations
Artificial intelligence for sustainability: Challenges, opportunities, and a research agenda
Nishant, R., Kennedy, M., & Corbett, J. (2020) · International Journal of Information Management · doi:10.1016/j.ijinfomgt.2020.102104 · Cited by 1,203
Deep Learning for LiDAR Point Clouds in Autonomous Driving: A Review
Li, Y., Ma, L., Zhong, Z., Liu, F., Chapman, M. A., Cao, D., & Li, J. (2020) · IEEE Transactions on Neural Networks and Learning Systems · doi:10.1109/tnnls.2020.3015992 · Cited by 646
Self-citationYan, X., Ai, T., Yang, M. J., & Yin, H. (2019) · ISPRS Journal of Photogrammetry and Remote Sensing · doi:10.1016/j.isprsjprs.2019.02.010 · Cited by 280
Che, E., Jung, J., & Olsen, M. J. (2019) · Sensors · doi:10.3390/s19040810 · Cited by 253
Soilán, M., Sánchez‐Rodríguez, A., del Río-Barral, P., Pérez-Collazo, C., Arias, P., & Riveiro, B. (2019) · Infrastructures · doi:10.3390/infrastructures4040058 · Cited by 157
Metadata
- Authors
- Wen, C., Sun, X., Li, J., Wang, C., Guo, Y., & Habib, A.
- Affiliations
- Xiamen University (CN)
- University of Waterloo (CA)
- Purdue University West Lafayette (US)
- Corresponding author
- Li, Jonathan
- Venue
- ISPRS Journal of Photogrammetry and Remote Sensing
- Publisher
- Elsevier BV
- Published
- 2019-01
- Volume
- 147
- Pages
- 178-192
- ISSN
- 0924-2716 (ISSN-L)
- OpenAlex
- W2902218628
- Cited by
- 158
- References
- 48
- Citations by year
- 2026: 12 · 2025: 12 · 2024: 18 · 2023: 23 · 2022: 27 · 2021: 22 · 2020: 24 · 2019: 20
- FWCI
- 13.22
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- ISPRS Journal of Photogrammetry and Remote Sensing (publishedVersion)
- Funders
- National Natural Science Foundation of China (41471379, 61771413, U1605254, 20720170047)
- Fundamental Research Funds for the Central Universities
- Topics
- Physical Sciences › Computer Science › Computer Vision and Pattern Recognition › Automated Road and Building Extraction
- Physical Sciences › Engineering › Civil and Structural Engineering › Infrastructure Maintenance and Monitoring
- Physical Sciences › Engineering › Automotive Engineering › Autonomous Vehicle Technology and Safety
- Keywords
- mobile laser scanning, point clouds, autonomous vehicles, HD maps, multi-scale clustering, hierarchical classification, generative adversarial networks
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
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