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In order to circumvent the curse of dimensionality in multiple hypothesis tracking data association, this paper proposes two efficient implementation algorithms using Tabu search and Gibbs sampling. As the first step, we formulate the problem of generating the best global hypothesis in multiple hypothesis tracking as the problem of finding a maximum weighted independent set of a weighted undirected...
In this article, we propose a data analytics development to detect unusual patterns of flights from a vast amounts of FDR (flight data recorder) data for supporting airline maintenance operations. A fundamental rationale behind this development is that if there are potential issues on mechanical parts of an aircraft during a flight, evidences for these issues are most likely included in the FDR data...
This paper proposes a guidance algorithm of a UAV for multiple targets tracking, considering physical constraints of the platform and its sensor. The on-board sensor used for target tracking is a camera. To relax the need of a gimbal system and provide flexibility in utilisation of the vision sensor, a new rotorcraft type of UAV is developed. The main focus in designing tracking guidance is to develop...
Actuator faults reduce the amount of control authority remaining in the UAV system which may impact its ability to follow a particular path profile required to successfully complete its mission. Fault tolerant guidance may be deployed to enhance the mission success rate when fault tolerant control may not be sufficient alone. This paper proposes a method of reconfiguring guidance to accommodate the...
This study proposes an optimal resource allocation algorithm of multiple UAVs with cooperative path planning using a geometric approach. The focus of the resource allocation is on mission and task completion, also known as feasibility whilst coping with operational and physical constraints of UAVs. Therefore, this study first introduces a geometric path planning algorithm based on Pythagorean Hodgraphs...
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