The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.
Integrated path planning and dynamic steering control for autonomous vehicles
Abstract
A method is presented for combining two previously proposed algorithms for path-planning and dynamic steering control into a computationally feasible scheme for real-time feedback control of autonomous vehicles in uncertain environments. In the proposed approach to vehicle guidance and control, Path Relaxation is used to compute critical points along a globally desirable path using a priori information and sensor data. Generalized potential fields are then used for local feedback control to drive the vehicle along a collision-free path using the critical points as subgoals. Simulation results are presented to demonstrate the control scheme.
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Citations
Cites
Impedance Control: An Approach to Manipulation: Part I—Theory
Hogan, N. (1985) · Journal of Dynamic Systems, Measurement, and Control · doi:10.1115/1.3140702 · Cited by 3,673
Cited by
Real-time obstacle avoidance for fast mobile robots
Borenstein, J., & Koren, Y. (1989) · IEEE Transactions on Systems, Man, and Cybernetics · doi:10.1109/21.44033 · Cited by 1,258
Dynamics of behavior: Theory and applications for autonomous robot architectures
Schöner, G., Dose, M., & Engels, C. (1995) · Robotics and Autonomous Systems · doi:10.1016/0921-8890(95)00049-6 · Cited by 334
Metadata
- Authors
- Krogh, B., & Thorpe, C.
- Venue
- Proceedings. 1986 IEEE International Conference on Robotics and Automation
- Publisher
- IEEE
- Published
- 1986
- Pages
- 1664-1669
- ISSN
- 1050-4729 (ISSN-L)
- OpenAlex
- W1807258779
- Cited by
- 259
- References
- 1
- FWCI
- 11.63
- Type
- conference paper
- Language
- en
- Open access
- closed
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- CoChat. (2026). Citation check: Integrated path planning and dynamic steering control for autonomous vehicles. https://app.cochat.ai/papers/10.1109/robot.1986.1087444
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- Krogh, B., & Thorpe, C. (1986). Integrated path planning and dynamic steering control for autonomous vehicles. Proceedings. 1986 IEEE International Conference on Robotics and Automation. https://doi.org/10.1109/robot.1986.1087444
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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).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
