The ability of accurately and efficiently planning safe routes that achieve mission goals in a timely fashion is a requirement for many diverse applications, including military operations. Standard route planning algorithms usually generate a minimum cost route based on a predetermined cost function. Unfortunately, such a route may not represent a desirable solution for different military scenarios. In this paper, we present a 3D route planer for unmanned air vehicles based on Lagrange Programming Neural Networks. Our approach can efficiently handle various constraints on the resultant route, such as minimum route leg length, maximum route length, maximum turning angle, maximum climbing/diving angle, minimum flight height.


    Access

    Check access

    Check availability in my library

    Order at Subito €


    Export, share and cite



    Title :

    Real-time 3D route planner for unmanned air vehicles


    Contributors:

    Conference:

    Visualization and Optimization Techniques ; 2001 ; Wuhan,China


    Published in:

    Publication date :

    2001-09-25





    Type of media :

    Conference paper


    Type of material :

    Electronic Resource


    Language :

    English



    Real-time 3D route planner for unmanned air vehicles [4553-44]

    Zheng, C. / Zhou, C. / Ding, M. et al. | British Library Conference Proceedings | 2001


    Unmanned Aerial Vehicles Evolutional Flight Route Planner Using the Potential Field Approach

    Lin, Chun-Liang / Lee, Chia-Sung / Huang, Ching-Huei et al. | AIAA | 2012


    LANE-LEVEL ROUTE PLANNER FOR AUTONOMOUS VEHICLES

    WRAY KYLE HOLLINS / WITWICKI STEFAN / ZILBERSTEIN SHLOMO | European Patent Office | 2024

    Free access


    LANE-LEVEL ROUTE PLANNER FOR AUTONOMOUS VEHICLES

    WRAY KYLE HOLLINS / WITWICKI STEFAN / ZILBERSTEIN SHLOMO | European Patent Office | 2022

    Free access