Any program tasked with the evaluation and acquisition of algorithms for use in deployed scenarios must have an impartial, repeatable, and auditable means of benchmarking both candidate and fielded algorithms. Success...
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ISBN:
(纸本)9781510655560
Any program tasked with the evaluation and acquisition of algorithms for use in deployed scenarios must have an impartial, repeatable, and auditable means of benchmarking both candidate and fielded algorithms. Success in this endeavor requires a body of representative sensor data, data labels indicating the proper algorithmic response to the data as adjudicated by subject matter experts, a means of executing algorithms under review against the data, and the ability to automatically score and report algorithm performance. Each of these capabilities should be constructed in support of program and mission goals. By curating and maintaining data, labels, tests, and scoring methodology, a program can understand and continually improve the relationship between benchmarked and fielded performance of acquired algorithms. A system supporting these program needs, deployed in an environment with sufficient computational power and necessary security controls is a powerful tool for ensuring due diligence in evaluation and acquisition of mission critical algorithms. This paper describes the Seascape system and its place in such a process.
The designers of unmanned air vehicle (UAV) mission systems are seeking to exploit advances in consumer image processing technology, to provide additional object detection and recognition capability for UAV systems. H...
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ISBN:
(纸本)9781622762675
The designers of unmanned air vehicle (UAV) mission systems are seeking to exploit advances in consumer image processing technology, to provide additional object detection and recognition capability for UAV systems. However, the two application domains are quite different, so a simple transfer of algorithms is not possible. A formal approach for selecting and developing algorithms is proposed. This involves algorithm modelling and experimental validation by the algorithm supplier, together with assessment trials in a representative system, carried out by the system designer. The objective is to build confidence in the behaviour of the algorithm under consideration, to build high fidelity models that can be used in system design studies and to address integration issues early in a development programme. A review of the open literature indicates that the necessary algorithm modelling is feasible and an example is presented to illustrate the proposed approach.
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