An unmanned undersea vehicle (UUV) needs an obstacle avoidance capability to make autonomous path planning decisions for successful undersea search and survey, maritime reconnaissance, communication/navigation aids, and tracking and trailing in uncharted shallow water. Physical Optics Corporation (POC) has developed a novel autonomous UUV path optimization navigator system for real-time, robust, self-adjusting, intelligent autonomous obstacle avoidance/navigation of UUVs. The POC system is based on our proprietary fast genetic algorithm, which processes signals from on-board obstacle avoidance sonar sensors to continuously optimize the navigation path while avoiding both moving and stationary obstacles in shallow waters. The system performs autonomous obstacle avoidance, accommodating navigation parameter changes. Vehicle dynamics are also incorporated by hydrodynamic compensation.


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    Title :

    Intelligent obstacle avoidance system for unmanned undersea vehicles in shallow water


    Contributors:

    Conference:

    Unattended/Unmanned Ground, Ocean, and Air Sensor Technologies and Applications VI ; 2004 ; Orlando,Florida,United States


    Published in:

    Publication date :

    2004-09-01





    Type of media :

    Conference paper


    Type of material :

    Electronic Resource


    Language :

    English



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