The DOI matches its Crossref record; 5 of the 5 references it cites were found in a registry or an index.
RALPH: rapidly adapting lateral position handler
Abstract
Nearly 15,000 people die each year in the US in single vehicle roadway departure crashes. These accidents are often caused by driver inattention, or driver impairment (e.g. fatigued or intoxicated drivers). A system capable of warning the driver when the vehicle starts to depart the roadway, or controlling the lateral position of the vehicle to keep it in its lane, could potentially eliminate many of these crashes. This paper presents a system called RALPH (Rapidly Adapting Lateral Position Handler) which decomposes the problem of steering a vehicle into three steps, 1) sampling of the image, 2) determining the road curvature, and 3) determining the lateral offset of the vehicle relative to the lane center. The output of the later two steps are combined into a steering command, which can be compared with the human driver's current steering direction as part of a road departure warning system, or sent directly to the steering motor.
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Cites
Neural Network Perception for Mobile Robot Guidance
Pomerleau, D. A. (1993) · Springer eBooks · doi:10.1007/978-1-4615-3192-0 · Cited by 475
Self-citationThe seeing passenger car 'VaMoRs-P'
Dickmanns, E. D., Behringer, R., Dickmanns, D., Hildebrandt, T., Maurer, M., Thomanek, F., & Schiehlen, J. (2005) · Proceedings of the Intelligent Vehicles '94 Symposium · doi:10.1109/ivs.1994.639472 · Cited by 224
PANS: a portable navigation platform
Jochem, T. M., Pomerleau, D., Kumar, B. V. K. V., & Armstrong, J. (2002) · IEEE Intelligent Vehicles Symposium · doi:10.1109/ivs.1995.528266 · Cited by 79
Self-citationRepresentation and recovery of road geometry in YARF
Kluge, K. C., & Thorpe, C. (2003) · IEEE Intelligent Vehicles Symposium · doi:10.1109/ivs.1992.252242 · Cited by 60
The Use Of A Radial Basis Function Network For Visual Autonomous Road Following
Rosenblum, M., & Davis, L. S. (2005) · IEEE Intelligent Vehicles Symposium · doi:10.1109/ivs.1993.697365 · Cited by 7
Cited by
Autonomous vehicle perception: The technology of today and tomorrow
Van Brummelen, J., O’Brien, M., Gruyer, D., & Najjaran, H. (2018) · Transportation Research Part C: Emerging Technologies · doi:10.1016/j.trc.2018.02.012 · Cited by 869
Recent progress in road and lane detection: A survey
Bar Hillel, A., Lerner, R., Levi, D., & Raz, G. (2014) · Machine Vision and Applications · doi:10.1007/s00138-011-0404-2 · Cited by 775
Real time detection of lane markers in urban streets
Aly, M. (2008) · 2008 IEEE Intelligent Vehicles Symposium · doi:10.1109/ivs.2008.4621152 · Cited by 678
Ethical Decision Making during Automated Vehicle Crashes
Goodall, N. J. (2014) · Transportation Research Record: Journal of the Transportation Research Board · doi:10.3141/2424-07 · Cited by 292
LABAYRADE, R. (2006) · IEICE Transactions on Information and Systems · doi:10.1093/ietisy/e89-d.7.2092 · Cited by 64
Metadata
- Authors
- Pomerleau, D.
- Venue
- Proceedings of the Intelligent Vehicles '95. Symposium
- Publisher
- IEEE
- Published
- 2002-11-19
- Pages
- 506-511
- ISSN
- 1931-0587 (ISSN-L)
- OpenAlex
- W2098908730
- Cited by
- 309
- References
- 5
- FWCI
- 33.56
- Type
- conference paper
- Language
- en
- Open access
- closed
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