Situation awareness

About: Situation awareness is a research topic. Over the lifetime, 7380 publications have been published within this topic receiving 108695 citations. The topic is also known as: SA & situational awareness.

Semantic knowledge-based representation for improving situation awareness in service oriented agents of autonomous underwater vehicles

Abstract: This paper proposes a semantic world model framework for hierarchical distributed representation of knowledge in autonomous underwater systems This framework aims to provide a more capable and holistic system, involving semantic interoperability, among all involved information sources This will enhance interoperability, independence of operation, and situation awareness of the embedded service-oriented agents for autonomous platforms The results obtained specificially impact om mission flexibility robustness and autonomy The presented framework makes use of the idea that heterogeneous real-world data of very different types must be proceed by (and run through) several different layers to be finally available in a suited format and at the right place to be acccesible by high-level decision making agents In this sense, the presented approach shows how to abstract away from the raw real-world data step by step by means of semantic technologies The paper concludes by demonstrating the benefits of the framework in a real scenario A hardware fault is simulated in a REMUS 100 AUV while performing a mission This triggers a knowledge exchange between the incipient fault diagnosis agent and the adaptive mission planner embedded agent By using the proposed framework, both services can interchange information while remaining domain independent during their interaction with the platform The results of this paper are readily applicable to land and air robotics

Situation Awareness in the Power Transmission and Distribution Industry

Abstract: This paper describes active research on situation awareness (SA) as it applies to the power transmission and distribution (T&D) industry. Goal-Directed Task Analysis (GDTA) interviews were conducte...

An aerial robot prototype for situational awareness in closed quarters

Abstract: More often homeland security, disaster mitigation and military operations are performed in urban environments. Time consuming, labor intensive and possibly dangerous tasks like bomb detection, search-and-rescue and reconnaissance done with robots could save resources. An aerial robot capable of flying in closed quarters like warehouses, stadiums, underground parking lots and tunnels is featured. The working prototype can fly slowly, safely and transmit wireless video for situational awareness. The design is analytic and employs a multi-disciplinary design optimization to formulate the integration of aerodynamics, sensor suite and task performance.

Mobile Robot Navigation with Intelligent Infrared Image Interpretation

Abstract: Mobile robots require the ability to make decisions such as "go through the hedges" or "go around the brick wall." Mobile Robot Navigation with Intelligent Infrared Image Interpretation describes in detail an alternative to GPS navigation: a physics-based adaptive Bayesian pattern classification model that uses a passive thermal infrared imaging system to automatically characterize non-heat generating objects in unstructured outdoor environments for mobile robots. The resulting classification model complements an autonomous robots situational awareness by providing the ability to classify smaller structures commonly found in the immediate operational environment. The approach described in this book is an application of Bayesian statistical pattern classification where learning involves labeled classes of data (supervised classification), assumes no formal structure regarding the density of the data in the classes (nonparametric density estimation), and makes direct use of prior knowledge regarding an object classs existence in a robots immediate area of operation when making decisions regarding class assignments for unknown objects. The result is a novel classification model which not only displays exceptional performance in characterizing non-heat generating outdoor objects in thermal scenes, but also outperforms the traditional KNN and Parzen classifiers. Mobile Robot Navigation with Intelligent Infrared Image Interpretation will be of interest to researchers and developers of advanced mobile robots in academic, industrial and military sectors. Advanced undergraduates studying robot sensor interpretation, pattern classification or infrared physics will also appreciate this book.

Performance-based Adaptive Automation for Supervisory Control

Abstract: Supervisory control of multiple autonomous vehicles raises many issues concerning the balance of system autonomy with human interaction for optimal operator situation awareness and system performance. An unmanned vehicle simulation designed to manipulate the application of automation was used to evaluate participants’ performance on image analysis tasks under two automation conditions: static (level of automation remained constant throughout trials) and adaptive (level of automation adapted as a function of performance on five types of tasks). The results showed that performance-based adaptation of the image task autonomy level improved performance on this task, as well as other tasks. Additionally, participants preferred the adaptive automation condition and felt that it reduced their cognitive workload and aided performance. Research issues are identified to further evaluate performance-based adaptation for supervisory control.