Optimization for Shared-Autonomy in Automotive Swarm Environment
2009-01-0166
04/20/2009
- Event
- 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.
- 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.