Duncan A. Campbell

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This paper introduces the forced landing problem for UAVs and presents the machine-vision based approach taken for this research. The forced landing problem, is a new field of research for UAVs and this paper will show the preliminary analysis to date. The results are based on video data collected from a series of flight trials in a Cessna 172. The aim of(More)
This paper discusses the need for informed decision making with respect to the management of the risks Unmanned Aerial System (UAS) operations present to people and property on the ground. In the absence of a wealth of experience in the hazards of UAS operations, an understanding of the risks can be gained through a formal risk analysis. This paper proposes(More)
(2012) Use of precision time protocol to synchronize sampled value process buses. Personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work(More)
Process bus networks are the next stage in the evolution of substation design, bringing digital technology to the high-voltage switchyard. Benefits of process buses include facilitating the use of nonconventional instrument transformers, improved disturbance recording and phasor measurement, and the removal of costly, and potentially hazardous, copper(More)
A computationally intelligent framework has been developed for the forced landing problem for uninhabited airborne vehicles (UAVs). This framework locates landing areas within an image that are of the appropriate geometrical size and free of obstacles. The surface-type of the candidate landing areas are classified into categories such as grass, trees and(More)
This paper presents Multi-Step A∗ (MSA∗), a search algorithm based on A∗ for multi-objective 4-D vehicle motion planning (three spatial and one time dimensions). The research is principally motivated by the need for offline and online motion planning for autonomous unmanned aerial vehicles (UAVs). For UAVs operating in large dynamic uncertain 4-D(More)
In recent times, Unmanned Aerial Systems (UAS) have been employed in an increasingly diverse range of applications. Numerous UAS market forecasts portray a burgeoning future, with many applications in both the military and civilian domains. Within the civilian realm, UAS are expected to be useful in performing a wide range of missions such as disaster(More)
Planning and decision making, especially the planning of dynamically negotiable collision free paths, is an integral part in the operation of Unmanned Aerial Vehicles (UAVs). Effective path planning ensures that the UAV operates safely, and conforms to the rules and regulations governing flight within the National Airspace System (NAS). To demonstrate an(More)
This paper discusses the development of a multi-objective mission flight planning algorithm for unmanned aerial system (UAS) operations within the National Airspace System (NAS). Existing methods for multi-objective planning are largely confined to two dimensional searches and/or acyclic graphs in deterministic environments; many are computationally(More)