The DOI matches its Crossref record; 19 of the 19 references it cites were found in a registry or an index.
Traffic sign recognition and analysis for intelligent vehicles
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Citations
Cites
Genetic algorithms in search, optimization, and machine learning
(1989) · Choice Reviews Online · doi:10.5860/choice.27-0936 · Cited by 49,010
Goldberg, D. E. (1989) · Medical Entomology and Zoology · Cited by 10,109
Comparing images using the Hausdorff distance
Huttenlocher, D. P., Klanderman, G. A., & Rucklidge, W. J. (1993) · IEEE Transactions on Pattern Analysis and Machine Intelligence · doi:10.1109/34.232073 · Cited by 4,545
A massively parallel architecture for a self-organizing neural pattern recognition machine
Carpenter, G. A., & Grossberg, S. (1987) · Computer Vision, Graphics, and Image Processing · doi:10.1016/s0734-189x(87)80014-2 · Cited by 2,525
GOLD: a parallel real-time stereo vision system for generic obstacle and lane detection
Bertozzi, M., & Broggi, A. (1998) · IEEE Transactions on Image Processing · doi:10.1109/83.650851 · Cited by 1,010
Road traffic sign detection and classification
de la Escalera, A., Moreno, L. E., Salichs, M. A., & Armingol, J. M. (1997) · IEEE Transactions on Industrial Electronics · doi:10.1109/41.649946 · Cited by 552
Self-citationAutonomous driving goes downtown
Franke, U., Gavrila, D., Gorzig, S., Lindner, F., Puetzold, F., & Wohler, C. (1998) · IEEE Intelligent Systems · doi:10.1109/5254.736001 · Cited by 297
Rapidly adapting machine vision for automated vehicle steering
Pomerleau, D., & Jochem, T. (1996) · IEEE Expert · doi:10.1109/64.491277 · Cited by 295
A Curvature-based Scheme for Improving Road Vehicle Guidance by Computer Vision
Dickmanns, E. D., & Zapp, A. (1987) · SPIE Proceedings · doi:10.1117/12.937795 · Cited by 256
A robust method for road sign detection and recognition
Piccioli, G., De Micheli, E., & Campani, M. (1994) · Lecture Notes in Computer Science · doi:10.1007/3-540-57956-7_55 · Cited by 239
Cited by
Mogelmose, A., Trivedi, M. M., & Moeslund, T. B. (2012) · IEEE Transactions on Intelligent Transportation Systems · doi:10.1109/tits.2012.2209421 · Cited by 684
Mapping Two Decades of Autonomous Vehicle Research: A Systematic Scientometric Analysis
Faisal, A., Yigitcanlar, T., Kamruzzaman, M., & Paz, A. (2021) · Journal of Urban Technology · doi:10.1080/10630732.2020.1780868 · Cited by 85
Yolo-Based Traffic Sign Recognition Algorithm
Li, M., Zhang, L., Li, L., & Song, W. (2022) · Computational Intelligence and Neuroscience · doi:10.1155/2022/2682921 · Cited by 17
Retracted
Metadata
- Authors
- de la Escalera, A., Armingol, J. M., & Mata, M.
- Venue
- Image and Vision Computing
- Publisher
- Elsevier BV
- Published
- 2003-03
- Volume
- 21
- Issue
- 3
- Pages
- 247-258
- ISSN
- 0262-8856 (ISSN-L)
- OpenAlex
- W2079854881
- Cited by
- 458
- References
- 19
- FWCI
- 14.93
- Type
- journal article
- Language
- en
- Open access
- bronze
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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.
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- CoChat. (2026). Citation check: Traffic sign recognition and analysis for intelligent vehicles. https://app.cochat.ai/papers/10.1016/s0262-8856(02)00156-7
- The paper
- de la Escalera, A., Armingol, J. M., & Mata, M. (2003). Traffic sign recognition and analysis for intelligent vehicles. Image and Vision Computing. https://doi.org/10.1016/s0262-8856(02)00156-7
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
