An Architecture for Intelligent Management of Aerial Observation Missions

Freed, Michael; Bonasso, Pete; Dalal, K. Michael; Frost, Chad; Harris, Robert N.

doi:10.2514/6.2005-6938

Cited by 10 publications

(5 citation statements)

References 6 publications

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“…SLAM, path-planning and others). Low level controls sensors and actuators (often called subsystems) of the UAV [16]. We follow that approach and decompose our control system into 3 above mentioned levels.…”

Section: Multilevel Architecture Of Distributed Control and Navigatio...mentioning

confidence: 99%

Distributed Control and Navigation System for Quadrotor UAVs in GPS-Denied Environments

Yakovlev

Khithov

Loginov

et al. 2015

Advances in Intelligent Systems and Computing

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Abstract. The problem of developing distributed control and navigation system for quadrotor UAVs operating in GPS-denied environments is addressed in the paper. Cooperative navigation, marker detection and mapping task solved by a team of multiple unmanned aerial vehicles is chosen as demo example. Developed intelligent control system complies with on 4D\RCS reference model and its implementation is based on ROS framework. Custom implementation of EKF-based map building algorithm is used to solve marker detection and map building task.

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Section: Multilevel Architecture Of Distributed Control and Navigatio...mentioning

confidence: 99%

Distributed Control and Navigation System for Quadrotor UAVs in GPS-Denied Environments

Yakovlev

Khithov

Loginov

et al. 2015

Advances in Intelligent Systems and Computing

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“…Concepts exist that are based on the behavior-based paradigm (Weiss 2005), where a set of elementary behaviors (so-called skills, such as movement primitives) is combined in such a way that a new emergent behavior is created. Furthermore, layered architectures (Freed 2005) have been proposed that comprise distinct system modes also known as hybrid control (Egerstedt 1999). Using knowledge-based systems, classical artificial intelligence spent over five decades trying to model human-like intelligence.…”

Section: Related High-level Control Architecturesmentioning

confidence: 99%

Onboard Mission Management for a VTOL UAV Using Sequence and Supervisory Control

Adolf¹,

Andert²

2010

Cutting Edge Robotics 2010

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“…MOCEF was motivated by the need to evaluate our work on an intelligent controller for a rotorcraft UAS working + PerotSystems Government Services. on surveillance missions [3]. This controller takes requests to observe a set of locations together, specification of the types of observations to be made at each location, and the value of the information.…”

Section: Motivationmentioning

confidence: 99%

Evaluating UAS Autonomy Operations Software in Simulation

Jarvis

Harris

Frost

2007

AIAA Infotech@Aerospace 2007 Conference and Exhibit

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We describe a software simulation test bed for evaluating Concepts of Operation (CONOPS) for Unmanned Aircraft Systems (UAS) flying earth science missions. The Mission Operational Concept Evaluation Framework (MOCEF) aids in the rapid evaluation of proposed system automation designs, including intelligent controllers for vehicles, sensor payloads, and decision support systems, on a wide range of missions. Such broad evaluation is prohibitively expensive when limited to physical experiments and real missions. MOCEF allows evaluation of automation concepts in multiple mission scenarios operating in a wide range of environments. It records mission metric parameters such as the quality of sensor data obtained, flight time, stress on the vehicles, and air traffic control rules infringed or invoked. This information can be fed into specific mission metric formulas to rate performance and into the Google Earth tool for visualization.

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An Architecture for Intelligent Management of Aerial Observation Missions

Cited by 10 publications

References 6 publications

Distributed Control and Navigation System for Quadrotor UAVs in GPS-Denied Environments

Distributed Control and Navigation System for Quadrotor UAVs in GPS-Denied Environments

Onboard Mission Management for a VTOL UAV Using Sequence and Supervisory Control

Evaluating UAS Autonomy Operations Software in Simulation

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