The DOI matches its Crossref record; 34 of the 34 references it cites were found in a registry or an index.
Real-time multiple vehicle detection and tracking from a moving vehicle
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Citations
Cites
Haykin, S. (1986) · Cited by 12,603
Computer graphics: principles and practice
(2014) · Choice Reviews Online · doi:10.5860/choice.51-2713 · Cited by 4,651
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
Vision and navigation for the Carnegie-Mellon Navlab
Thorpe, C., Hebert, M. H., Kanade, T., & Shafer, S. A. (1988) · IEEE Transactions on Pattern Analysis and Machine Intelligence · doi:10.1109/34.3900 · Cited by 776
Recursive 3-D road and relative ego-state recognition
Dickmanns, E. D., & Mysliwetz, B. D. (1992) · IEEE Transactions on Pattern Analysis and Machine Intelligence · doi:10.1109/34.121789 · Cited by 553
Robust multiple car tracking with occlusion reasoning
Koller, D., Weber, J., & Malik, J. (1994) · Lecture Notes in Computer Science · doi:10.1007/3-540-57956-7_22 · Cited by 509
A real-time computer vision system for measuring traffic parameters
Beymer, D., McLauchlan, P., Coifman, B., & Malik, J. (2002) · Proceedings of IEEE Computer Society Conference on Computer Vision and Pattern Recognition · doi:10.1109/cvpr.1997.609371 · Cited by 493
Dynamic monocular machine vision
Dickmanns, E. D., & Graefe, V. (1988) · Machine Vision and Applications · doi:10.1007/bf01212361 · Cited by 353
RALPH: rapidly adapting lateral position handler
Pomerleau, D. (2002) · Proceedings of the Intelligent Vehicles '95. Symposium · doi:10.1109/ivs.1995.528333 · Cited by 309
Applications of dynamic monocular machine vision
Dickmanns, E. D., & Graefe, V. (1988) · Machine Vision and Applications · doi:10.1007/bf01212362 · Cited by 277
Cited by
A survey of video processing techniques for traffic applications
Kastrinaki, V, Zervakis, M., & Kalaitzakis, K. (2003) · Image and Vision Computing · doi:10.1016/s0262-8856(03)00004-0 · Cited by 527
Vehicle Detection Techniques for Collision Avoidance Systems: A Review
Mukhtar, A., Xia, L., & Tang, T. B. (2015) · IEEE Transactions on Intelligent Transportation Systems · doi:10.1109/tits.2015.2409109 · Cited by 427
Dynamic 3D Scene Analysis from a Moving Vehicle
Leibe, B., Cornelis, N., Cornelis, K., & Van Gool, L. (2007) · 2007 IEEE Conference on Computer Vision and Pattern Recognition · doi:10.1109/cvpr.2007.383146 · Cited by 300
Object Detection and Tracking for Autonomous Navigation in Dynamic Environments
Ess, A., Schindler, K., Leibe, B., & Van Gool, L. (2010) · The International Journal of Robotics Research · doi:10.1177/0278364910365417 · Cited by 191
Symmetry-based monocular vehicle detection system
Teoh, S. S., & Bräunl, T. (2012) · Machine Vision and Applications · doi:10.1007/s00138-011-0355-7 · Cited by 146
Metadata
- Authors
- Betke, M., Haritaoglu, E., & Davis, L. S.
- Venue
- Machine Vision and Applications
- Published
- 2000-08-01
- Volume
- 12
- Issue
- 2
- Pages
- 69-83
- ISSN
- 0932-8092 (ISSN-L)
- 1432-1769
- OpenAlex
- W2040720916
- Cited by
- 318
- References
- 34
- FWCI
- 12.62
- Type
- journal article
- Language
- en
- Open access
- closed
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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: Real-time multiple vehicle detection and tracking from a moving vehicle. https://app.cochat.ai/papers/10.1007/s001380050126
- The paper
- Betke, M., Haritaoglu, E., & Davis, L. S. (2000). Real-time multiple vehicle detection and tracking from a moving vehicle. Machine Vision and Applications. https://doi.org/10.1007/s001380050126
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.
