NDLI: A Real-Time UAV Route Planning Algorithm Based on Fuzzy Logic Techniques

Content Provider	IEEE Xplore Digital Library
Author	Shibo Li Xiuxia Sun
Copyright Year	2006
Description	Author affiliation: Inst. of Eng., Air Force Eng. Univ., Xi'an (Shibo Li; Xiuxia Sun)
Abstract	Following the people's behavior in an unknown environment, this paper presents a real-time route-planning algorithm to guide the UAVs to pass through an unknown environment. The route's cost is defined as the weighted sum of the two metrics: the cost of the route's distance and the hazard cost. To make the route's cost minimum, the optimal way from the current place to the next place can be found. During the process of computing, the cost of the route's distance is represented as the distance's effective shorten to the target, the hazard cost is defined as the hazard's integral along the line. To assign weights to the costs components for the route's distance and the hazard, account for the circumstances and requirements of the mission, such as wind speed, arrive time, fuzzy if-then rules is used to extract and formulate a human operator's experience. Finally the simulation results were presented to demonstrate the efficiency of the algorithm
Starting Page	8750
Ending Page	8753
File Size	227033
Page Count	4
File Format	PDF
ISBN	1424403324
DOI	10.1109/WCICA.2006.1713690
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2006-06-21
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Unmanned aerial vehicles Fuzzy logic Hazards Sun Cost function Wind speed Humans Intelligent control Automation unmanned aerial vehicles (UAVs) route planning algorithms fuzzy logic techniques
Content Type	Text
Resource Type	Article

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