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Operation of networks of heterogeneous vehicles and sensors imposes many technical and operational challenges. Simultaneous control of multiple vehicle types requires abstraction any device-specific details and to keep human operators in the loop by providing them a good overall picture of the current system state. In this paper, we present the Neptus command and control infrastructure for such operations,...
Autonomous underwater vehicles (AUVs) are indispensable tools for marine scientists to study the world's oceans. Depending on their missions, AUVs are equipped with advanced sensors (sonar, cameras, acoustic communication, bio-sensors), have on-board computers for data analysis (image analysis, data compression), and are capable of on-board decision making (resource planning, swarming). Since AUVs...
Ocean and air going autonomous vehicles are capable of performing “dirty, dull and dangerous” (3D) missions and have already proved invaluable in the field. 3D missions arise not only in defense operations, but also in civilian operations, such as those concerned with oceanographic and environmental protection or harbor protection missions. These current trends set new requirements for future generations...
This paper presents an intelligent decision algorithm and an on-board architecture designed to enable an autonomous underwater vehicle (AUV) to carry out a survey mission autonomously. The connotation of global model in decision algorithm is analyzed, including environment information, mission information and Self-states of AUV. The survey mission of multi-objective operation areas in an unsafe zone...
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...
Unmanned aerial vehicles (UAVs) have shown promise in recent years for autonomous sensing. UAVs systems have been proposed for a wide range of applications such as mapping, surveillance, search, and tracking operations. The recent availability of low-cost UAVs suggests the use of teams of vehicles to perform sensing tasks. To leverage the capabilities of a team of vehicles, efficient methods of decentralized...
Safety is an important issue of driverless car. Yet, most current approaches fail to ensure safety even in a fully informed situation. In this paper we discuss how the safety criteria apply when the robot uses its on board sensors to evolve in an environment populated with static and moving obstacles. The sensors can only provide a partial and uncertain knowledge of the surroundings. We show that...
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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