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Autonomous steering control is the principal task in the development of an intelligent transportation system. This research paper proposes a novel approach for vision based intelligent control of unmanned vehicles. The paper addresses the problems of accurate and efficient intelligent vehicle control by incorporating a well known evolutionary algorithm cAnt-Miner. The uniqueness of the proposed algorithm...
We are developing onboard planning and execution technologies to provide robust and opportunistic mission operations for a future Titan Aerobot. Aerobot have the potential for collecting a vast amount of high priority science data. However, to be effective, an aerobot must address several challenges including communication constraints, extended periods without contact with Earth, uncerttain and changing...
Path planning is basis for any autonomous underwater vehicle to implement completely cruising in subsea environment and path tracking is important technology as well, especially for multi-AUV (Autonomous underwater vehicle) cruising with a fleet formate. In this paper, algorithms path planning and path tracking are addressed for an open frame AUV. Fast Marching algorithm is applied to solve problems...
This paper details a control method, used to guide an autonomous underwater vehicle (AUV) in the task of locating and tracking underwater pipeline and cables. The article details the simulation and experimental results of the navigation when searching for simulated pipes on the seabed in shallow waters. Sonar based pipeline detection and tracking starts by the acquisition of the sonar image and further...
This article presents the implementation of decentralized data fusion (DDF) and cooperative control algorithms on an unmanned aerial system (UAS). We conduct a number of demonstrations with a pair of unmanned aerial vehicles (UAVs) performing an information-gathering mission, and we show that significant benefits can be achieved by enabling cooperation through the sharing of information between members...
We develop a robust method for planning an undersea search by unmanned vehicles; the goal of which is to find groups of objects that may be placed randomly or arranged in predefined patterns on the ocean floor. This approach revolves around the computation of target pattern priors that describe the underlying geometrical structure of the expected group of objects. These priors are updated based on...
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