Cognitive Science and Technology: Augmented Reactive Mission and Motion Planning Architecture

MahmoudZadeh, Somaiyeh; Powers, David M.W.; Bairam Zadeh, Reza

This book addresses higher–lower level decision autonomy for autonomous vehicles, and discusses the addition of a novel architecture to cover both levels. The proposed framework’s performance and stability are subsequently investigated by employing different meta-heuristic algorithms. The performance of the proposed architecture is shown to be largely independent of the algorithms employed; the use of diverse algorithms (subjected to the real-time performance of the algorithm) does not negatively affect the system’s real-time performance. By analyzing the simulation results, the book demonstrates that the proposed model provides perfect mission timing and task management, while also guaranteeing secure deployment. Although mainly intended as a research work, the book’s review chapters and the new approaches developed here are also suitable for use in courses for advanced undergraduate or graduate students.

Details

Published by: Springer

Publication Date: 2018-08-16

Format: Hardcover

ISBN-13: 9789811322440

DOI: 10.1007/978-981-13-2245-7

Dimensions: 235cm x155cm

Pages: 107