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Rapidly adapting machine vision for automated vehicle steering
Abstract
The Ralph vision system helps automobile drivers steer, by sampling an image, assessing the road curvature, and determining the lateral offset of the vehicle relative to the lane center. Ralph has performed well under extensive tests, including a coast-to-coast, 2,850-mile drive.
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Cited by
Stanley: The robot that won the DARPA Grand Challenge
Thrun, S., Montemerlo, M., Dahlkamp, H., Stavens, D., Aron, A., Diebel, J., Fong, P., Gale, J., Halpenny, M., Hoffmann, G., et al. (2006) · Journal of Field Robotics · doi:10.1002/rob.20147 · Cited by 2,237
Video-Based Lane Estimation and Tracking for Driver Assistance: Survey, System, and Evaluation
McCall, J. C., & Trivedi, M. M. (2006) · IEEE Transactions on Intelligent Transportation Systems · doi:10.1109/tits.2006.869595 · Cited by 1,028
Simultaneous Localization and Mapping: A Survey of Current Trends in Autonomous Driving
Bresson, G., Alsayed, Z., Yu, L., & Glaser, S. (2017) · IEEE Transactions on Intelligent Vehicles · doi:10.1109/tiv.2017.2749181 · Cited by 885
Three Decades of Driver Assistance Systems: Review and Future Perspectives
Bengler, K., Dietmayer, K., Farber, B., Maurer, M., Stiller, C., & Winner, H. (2014) · IEEE Intelligent Transportation Systems Magazine · doi:10.1109/mits.2014.2336271 · Cited by 868
Making Bertha Drive—An Autonomous Journey on a Historic Route
Ziegler, J., Bender, P., Schreiber, M., Lategahn, H., Strauss, T., Stiller, C., Dang, T., Franke, U., Appenrodt, N., Keller, C. G., et al. (2014) · IEEE Intelligent Transportation Systems Magazine · doi:10.1109/mits.2014.2306552 · Cited by 854
Metadata
- Authors
- Pomerleau, D., & Jochem, T.
- Venue
- IEEE Expert
- Published
- 1996-04
- Volume
- 11
- Issue
- 2
- Pages
- 19-27
- ISSN
- 0885-9000 (ISSN-L)
- OpenAlex
- W2155732138
- Cited by
- 295
- References
- 0
- FWCI
- 31.27
- Type
- journal article
- Language
- en
- Open access
- closed
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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.