Optimization for Shared-Autonomy in Automotive Swarm Environment Honda R&D Americas, Incorporated

Format:

Conference/Event

Author/Creator:

Bai, Sue, author.

Conference Name:

SAE World Congress & Exhibition (2009-04-20 : Detroit, Michigan, United States)

Language:

English

Physical Description:

1 online resource

Place of Publication:

Warrendale, PA SAE International 2009

Summary:

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

Notes:

Vendor supplied data

Publisher Number:

2009-01-0166

Access Restriction:

Restricted for use by site license