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Item Details
| Title:
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COOPERATIVE PATH PLANNING OF UNMANNED AERIAL VEHICLES
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| By: |
Antonios Tsourdos, Brian White, Madhavan Shanmugavel |
| Format: |
Other digital |
| List price:
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£90.00 |
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We currently do not stock this item, please contact the publisher directly for
further information.
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| ISBN 10: |
047097463X |
| ISBN 13: |
9780470974636 |
| Publisher: |
JOHN WILEY AND SONS LTD |
| Pub. date: |
8 November, 2010 |
| Series: |
Aerospace Series |
| Pages: |
216 |
| Description: |
Path Planning Strategies for Cooperative Autonomous Air Vehicles offers a dedicated, practical guide to computational path planning for cooperative autonomous vehicles. Focusing path planning for multiple UAVs for simultaneous arrival on target, it also covers path planners that are applicable to land, sea, or space-borne vehicles. |
| Synopsis: |
An invaluable addition to the literature on UAV guidance and cooperative control, Cooperative Path Planning of Unmanned Aerial Vehicles is a dedicated, practical guide to computational path planning for UAVs. One of the key issues facing future development of UAVs is path planning: it is vital that swarm UAVs/ MAVs can cooperate together in a coordinated manner, obeying a pre-planned course but able to react to their environment by communicating and cooperating. An optimized path is necessary in order to ensure a UAV completes its mission efficiently, safely, and successfully. Focussing on the path planning of multiple UAVs for simultaneous arrival on target, Cooperative Path Planning of Unmanned Aerial Vehicles also offers coverage of path planners that are applicable to land, sea, or space-borne vehicles. Cooperative Path Planning of Unmanned Aerial Vehicles is authored by leading researchers from Cranfield University and provides an authoritative resource for researchers, academics and engineers working in the area of cooperative systems, cooperative control and optimization particularly in the aerospace industry. |
| Publication: |
US |
| Imprint: |
Wiley-Blackwell |
| Returns: |
Non-returnable |
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