Path Planning for a Collection of Vehicles With Yaw Rate Constraints
Sivakumar Rathinam (),
Raja Sengupta and
Swaroop Darbha
Additional contact information
Sivakumar Rathinam: University of California
Raja Sengupta: University of California
Swaroop Darbha: Texas A & M University
A chapter in Cooperative Systems, 2007, pp 255-268 from Springer
Abstract:
Summary Multi-vehicle systems are naturally encountered in civil and military applications. Cooperation amongst individual “miniaturized” vehicles allows for flexibility to accomplish missions that a single large vehicle may not readily be able to accomplish. While accomplishing a mission, motion planning algorithms are required to efficiently utilize a common resource (such as the total fuel in the collection of vehicles) or to minimize a collective cost function (such as the maximum time taken by the vehicles to reach their intended destination). The objective of this chapter is to present a constant factor approximation algorithm for planning the path of each vehicle in a collection of vehicles, where the motion of each vehicle must satisfy yaw rate constraints.
Keywords: Path Planning; Minimum Span Tree; Cost Edge; Single Vehicle; Eulerian Graph (search for similar items in EconPapers)
Date: 2007
References: Add references at CitEc
Citations:
There are no downloads for this item, see the EconPapers FAQ for hints about obtaining it.
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:spr:lnechp:978-3-540-48271-0_15
Ordering information: This item can be ordered from
http://www.springer.com/9783540482710
DOI: 10.1007/978-3-540-48271-0_15
Access Statistics for this chapter
More chapters in Lecture Notes in Economics and Mathematical Systems from Springer
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().