The DOI matches its Crossref record; 5 of the 5 references it cites were found in a registry or an index.
Real time detection of lane markers in urban streets
Open accessAbstract
We present a robust and real time approach to lane marker detection in urban streets. It is based on generating a top view of the road, filtering using selective oriented Gaussian filters, using RANSAC line fitting to give initial guesses to a new and fast RANSAC algorithm for fitting Bezier Splines, which is then followed by a post-processing step. Our algorithm can detect all lanes in still images of the street in various conditions, while operating at a rate of 50 Hz and achieving comparable results to previous techniques.
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Cites
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
Autonomous 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
A Comparative Study of Vision-Based Lateral Control Strategies for Autonomous Highway Driving
Taylor, C. J., Košecká, J., Blasi, R., & Malik, J. (1999) · International Journal of Robotics Research · doi:10.1177/02783649922066321 · Cited by 199
LANA: a lane extraction algorithm that uses frequency domain features
Kreucher, C., & Lakshmanan, S. (1999) · IEEE Transactions on Robotics and Automation · doi:10.1109/70.760356 · Cited by 148
Kluge, K. C. (2005) · IEEE Intelligent Vehicles Symposium · doi:10.1109/ivs.1994.639482 · Cited by 146
Cited by
BDD100K: A Diverse Driving Dataset for Heterogeneous Multitask Learning
Yu, F., Chen, H., Wang, X., Xian, W., Chen, Y., Liu, F., Madhavan, V., & Darrell, T. (2020) · 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) · doi:10.1109/cvpr42600.2020.00271 · Cited by 2,641
DeepDriving: Learning Affordance for Direct Perception in Autonomous Driving
Chen, C., Seff, A., Kornhauser, A., & Xiao, J. (2015) · 2015 IEEE International Conference on Computer Vision (ICCV) · doi:10.1109/iccv.2015.312 · Cited by 1,876
Deep Learning for Safe Autonomous Driving: Current Challenges and Future Directions
Muhammad, K., Ullah, A., Lloret, J., Ser, J. D., & de Albuquerque, V. H. C. (2021) · IEEE Transactions on Intelligent Transportation Systems · doi:10.1109/tits.2020.3032227 · Cited by 659
Deep Neural Network for Structural Prediction and Lane Detection in Traffic Scene
Li, J., Mei, X., Prokhorov, D., & Tao, D. (2017) · IEEE Transactions on Neural Networks and Learning Systems · doi:10.1109/tnnls.2016.2522428 · Cited by 435
Real-time illumination invariant lane detection for lane departure warning system
Son, J., Yoo, H., Kim, S., & Sohn, K. (2015) · Expert Systems with Applications · doi:10.1016/j.eswa.2014.10.024 · Cited by 223
Metadata
- Authors
- Aly, M.
- Venue
- 2008 IEEE Intelligent Vehicles Symposium
- Publisher
- IEEE
- Published
- 2008-06
- Pages
- 7-12
- ISSN
- 1931-0587 (ISSN-L)
- OpenAlex
- W2118545852
- Cited by
- 678
- References
- 5
- FWCI
- 13.56
- Type
- conference paper
- Language
- en
- Open access
- green
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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).
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