Published April 1990
| Published
Book Section - Chapter
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A Neural Network Approach to Multi-Vehicle Navigation
- Creators
- Fox, Geoffrey
- Gurewitz, Eitan
- Wong, Yiu-fai
Chicago
Abstract
We develop a neural network formulation for multii-vehicle navigation on a two-dimensional surface here. A time-linking map is generated for each individual vehicle using techniques similar to the known shortest path algorithms for an isolated vehicle. Neural networks are then applied to generate non-conflicting paths minimizing the time of travel.
Additional Information
© 1990 IEEE. The work reported here is funded by the Department of Energy under grant DE-FG03-85ER25009, Program Manager of the Joint Tactical Fusion Program Office and National Science Foundation under grant EET-8700064.Attached Files
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Additional details
- Eprint ID
- 78625
- Resolver ID
- CaltechAUTHORS:20170627-171037106
- Department of Energy (DOE)
- DE-FG03-85ER25009
- Joint Tactical Fusion Program
- NSF
- EET-8700064
- Created
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2017-06-28Created from EPrint's datestamp field
- Updated
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2021-11-15Created from EPrint's last_modified field