Learning metric-topological maps for indoor mobile robot navigation
Artificial Intelligence
Goal-oriented requirement analysis for data warehouse design
Proceedings of the 8th ACM international workshop on Data warehousing and OLAP
IEEE Transactions on Software Engineering
IEEE Transactions on Software Engineering
Determining Map Quality through an Image Similarity Metric
RoboCup 2008: Robot Soccer World Cup XII
PerMIS '08 Proceedings of the 8th Workshop on Performance Metrics for Intelligent Systems
Ontological perspectives for autonomy performance
PerMIS '08 Proceedings of the 8th Workshop on Performance Metrics for Intelligent Systems
Performance measures framework for unmanned systems (PerMFUS): models for contextual metrics
Proceedings of the 10th Performance Metrics for Intelligent Systems Workshop
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The performance of intelligent unmanned systems (UMSs) must be able to be measured to ensure that they can meet the operational requirements. A generic framework to enable capturing and organizing the performance metrics is highly desirable. In this framework, unmanned system (UMS) performance can be attributed to the missions that it is commanded to perform, the environments that the missions are to be performed in, and the capabilities of the system itself. These attributes constitute a "three-axis" UMS performance metrics model. This framework, once further populated, can benefit the UMS community by allowing capture of the UMS performance, from the technical and operational perspective.