The DOI matches its Crossref record; 3 of the 3 references it cites were found in a registry or an index.
Planning Long Dynamically Feasible Maneuvers for Autonomous Vehicles
Open accessAbstract
In this paper, we present an algorithm for generating complex dynamically feasible maneuvers for autonomous vehicles traveling at high speeds over large distances. Our approach is based on performing anytime incremental search on a multi-resolution, dynamically feasible lattice state space. The resulting planner provides real-time performance and guarantees on and control of the suboptimality of its solution. We provide theoretical properties and experimental results from an implementation on an autonomous passenger vehicle that competed in, and won, the Urban Challenge competition.
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Citations
Cites
Real-Time Obstacle Avoidance for Manipulators and Mobile Robots
Khatib, O. (1986) · The International Journal of Robotics Research · doi:10.1177/027836498600500106 · Cited by 7,894
Principles of Artificial Intelligence
Nilsson, N. J. (1982) · doi:10.1007/978-3-662-09438-9 · Cited by 3,457 · cited 1×
“A* search is perhaps one of the most popular methods for doing this ( Nilsson 1980 ).”
MethodAutonomous driving in urban environments: Boss and the Urban Challenge
Urmson, C., Anhalt, J., Bagnell, D., Baker, C., Bittner, R., Clark, M. N., Dolan, J., Duggins, D., Galatali, T., Geyer, C., et al. (2008) · Journal of Field Robotics · doi:10.1002/rob.20255 · Cited by 1,555
Self-citation
Cited by
A Review of Motion Planning Techniques for Automated Vehicles
Gonzalez, D., Perez, J., Milanes, V., & Nashashibi, F. (2016) · IEEE Transactions on Intelligent Transportation Systems · doi:10.1109/tits.2015.2498841 · Cited by 1,670
Survey of Robot 3D Path Planning Algorithms
Yang, L., Qi, J., Song, D., Xiao, J., Han, J., & Xia, Y. (2016) · Journal of Control Science and Engineering · doi:10.1155/2016/7426913 · Cited by 328
Mapping Two Decades of Autonomous Vehicle Research: A Systematic Scientometric Analysis
Faisal, A., Yigitcanlar, T., Kamruzzaman, M., & Paz, A. (2021) · Journal of Urban Technology · doi:10.1080/10630732.2020.1780868 · Cited by 85
Owczarzak, Ł., & Żak, J. (2015) · Transportation Research Procedia · doi:10.1016/j.trpro.2015.09.001 · Cited by 45
Metadata
- Authors
- Likhachev, M., & Ferguson, D.
- Venue
- The International Journal of Robotics Research
- Publisher
- SAGE Publications
- Published
- 2009-06-26
- Volume
- 28
- Issue
- 8
- Pages
- 933-945
- ISSN
- 0278-3649 (ISSN-L)
- 1741-3176
- OpenAlex
- W2113029345
- Cited by
- 512
- References
- 3
- FWCI
- 25.65
- Type
- journal article
- 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).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
