Optimization for Shared-Autonomy in Automotive Swarm Environment

2009-01-0166

04/20/2009

Event
SAE World Congress & Exhibition
Authors Abstract
Content
The need for greater capacity in automotive transportation (in the midst of constrained resources) and the convergence of key technologies from multiple domains may eventually produce the emergence of a “swarm” concept of operations. The swarm, a collection of vehicles traveling at high speeds and in close proximity, will require management techniques to ensure safe, efficient, and reliable vehicle interactions. We propose a shared-autonomy approach in which the strengths of both human drivers and machines are employed in concert for this management. A fuzzy logic-based control implementation is combined with a genetic algorithm to select the shared-autonomy architecture and sensor capabilities that optimize swarm operations.
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DOI
https://doi.org/10.4271/2009-01-0166
Pages
9
Citation
Bai, S., Sengstacken, A., and DeLaurentis, D., "Optimization for Shared-Autonomy in Automotive Swarm Environment," SAE Technical Paper 2009-01-0166, 2009, https://doi.org/10.4271/2009-01-0166.
Additional Details
Publisher
Published
Apr 20, 2009
Product Code
2009-01-0166
Content Type
Technical Paper
Language
English