RETRACTED ARTICLE: Fast and Robust Stereo Vision Algorithm for Obstacle Detection
This record is marked as retracted by the source. Review the publisher’s notice before using its findings.
Bibliographic record
Abstract
No abstract is available for this record. The assistant can identify its topic from the title, but cannot infer the study’s results.
Source: Not provided · Quality: missing
Research context
OpenAlex topics: Advanced Vision and Imaging · Video Surveillance and Tracking Methods · Image Enhancement Techniques
SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.
References (14)
Show source-provided references
1. Hattori H, Maki A. Stereo without depth search and metric calibration. Conference on Computer Vision and Pattern Recognition, Kawasaki, Japan, 2000, 177–184.
2. Hautiere N, Labayrade R, Aubert D. Real-time disparity contrast combination for onboard estimation of the visibility distance. IEEE Transactions on Intelligent Transportation Systems, 2006, 7, 201–212.10.1109/TITS.2006.874682 ↗
3. Labayrade R, Aubert D, Tarel J P. Real time obstacle detection on non flat road geometry through v-disparity representation. Proceedings of IEEE Intelligent Vehicles Symposium, Versailles, France, 2002, 2, 646–651.
4. Labayrade R, Aubert D. A single framework for vehicle roll,pitch, yaw estimation and obstacles detection by stereovision. Proceedings of IEEE Intelligent Vehicles Symposium, Columbus, USA, 2003, 31–36.
5. Gruyer D, Berge-Cherfaoui V. Multi-objects association in perception of dynamical situation. Proceedings of the 15th Conference in Uncertainty in Artificial Intelligence, Stockholm, Sweden, 1999, 255–262.
6. Labayrade R, Aubert D. In-Vehicle obstacle detection and characterization by stereovision. The 1st International Workshop on In-Vehicle Cognitive Computer Vision Systems, Graz, Austria, 2003, 13–19.
7. Williamson T A. A High-Performance Stereo Vision System for Obstacle Detection. PhD Thesis, Carnegie Mellon University, USA, 1998.
8. Franke U, Joos A. Real-time stereo vision for urban traffic scene understanding. Proceedings of the IEEE Intelligent Vehicles Symposium, Dearborn, USA, 2000, 273–278.
9. Goldbeck J, Huertgen B. Lane detection and tracking by video sensors. Proceedings of International Conference on Intelligent Transportation Systems, Tokyo, 1999, 74–79.
10. Hancock J. High-Speed Obstacle Detection for Automated Highway Applications. Technical Report CMU-RI-TR-97-17, Robotics Institute, Carnegie Mellon University, 2000.
11. Rojas J C, Crisman J D. Vehicle detection in color images. Proceedings of the IEEE Conference on Intelligent Transportation Systems, Boston, USA, 1997, 403–408.10.1109/ITSC.1997.660509 ↗
12. Grimson W E L. Computational experiments with a feature based stereo algorithm. IEEE Transactions on Pattern and Machine Intelligence, 1985, 7, 17–34.10.1109/TPAMI.1985.4767615 ↗
13. Kalinke T, Tzomakas C, Seelen W V. A Texture-based object detection and an adaptive model-based classification. Proceedings of the IEEE Intelligent Vehicles Symposium, Stuttgart, Germany, 1998, 1, 143–148.
14. Bertozzi M, Broggi A, Fascioli A, Nichele S. Stereo vision-based vehicle detection. Proceedings of the IEEE Intelligent Vehicles Symposium, Dearborn, USA, 2000, 39–44.