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.

Workload, awareness and automation in multiple-robot supervision:

Abstract: Using a single human to supervise multiple robots helps to address manpower constraints while deriving the benefits of multiple-robot deployment such as efficiency and improved system reliability. ...

Situational Awareness: Techniques, Challenges, and Prospects

Abstract: Situational awareness (SA) is defined as the perception of entities in the environment, comprehension of their meaning, and projection of their status in near future. From an Air Force perspective, SA refers to the capability to comprehend and project the current and future disposition of red and blue aircraft and surface threats within an airspace. In this article, we propose a model for SA and dynamic decision-making that incorporates artificial intelligence and dynamic data-driven application systems to adapt measurements and resources in accordance with changing situations. We discuss measurement of SA and the challenges associated with quantification of SA. We then elaborate a plethora of techniques and technologies that help improve SA ranging from different modes of intelligence gathering to artificial intelligence to automated vision systems. We then present different application domains of SA including battlefield, gray zone warfare, military- and air-base, homeland security and defense, and critical infrastructure. Finally, we conclude the article with insights into the future of SA.

Semantic Technologies and Enhanced Situation Awareness

Abstract: Situation awareness is a critical element of military decision superiority in a wide variety of operational contexts Improved situation awareness can benefit operational effectiveness by facilitating the planning process, improving the quality and timeliness of decisions, and providing better feedback about the strategic and tactical consequences of military actions The military coalition environment presents a number of challenges to situation awareness research; not only in terms of the technical approaches used to enhance situation awareness, but also in terms of the models and conceptual frameworks used to analyse situation awareness This paper outlines an approach to enhancing situation awareness that is grounded in the use of Semantic Web technologies We describe the challenges to both individual and team situation awareness presented by coalition military environments, and we discuss ways in which semantic technologies might be used to address these challenges We suggest that an approach featuring domain ontologies, reasoning capabilities, semantic queries and semantic integration techniques provides the basis for an integrated framework for improving situation awareness in military coalition contexts We provide an example of our approach in the form of the InfoGlue framework for adaptive, context-aware information retrieval

3-D perception and modeling

Abstract: In the context of the 2008 Lunar Robotics Challenge (LRC) of the European Space Agency (ESA), the Jacobs Robotics team investigated three-dimensional (3-D) perception and modeling as an important basis of autonomy in unstructured domains. Concretely, the efficient modeling of the terrain via a 3D laser range finder (LRF) is addressed. The underlying fast extraction of planar surface patches can be used to improve situational awareness of an operator or for path planning. 3D perception and modeling is an important basis for mobile robot operations in planetary exploration scenarios as it supports good situation awareness for motion level teleoperation as well as higher level intelligent autonomous functions. It is hence desirable to get long-range 3D data with high resolution, large field of view, and very fast update rates. 3D LRF have a high potential in this respect. In addition, 3D LRF can operate under conditions where standard vision based methods fail, e.g., under extreme light conditions. However, it is nontrivial to transmit the huge amount of data delivered by a 3D LRF to an operator station or to use this point cloud data as basis for higher level intelligent functions. Based on our participation in the LRC of the ESA, it is shown how the huge amount of 3D point cloud data from 3D LRF can be tremendously reduced. Concretely, large sets of points are replaced by planar surface patches that are fitted into the data in an optimal way. The underlying computations are very efficient and hence suited for online computations onboard of the robot.

Ant-Based Cyber Security

Abstract: We describe a swarming-agent-based, mixed initiative approach to infrastructure defense where teams of humans and software agents defend cooperating organizations in tandem by sharing insights and solutions without violating proprietary boundaries. The system places human administrators at the appropriate level: where they provide system guidance while lower-level agents carry out tasks humans are unable to perform quickly enough to mitigatetoday's security threats. Cooperative Infrastructure Defense, or CID, uses our ant-based approach to enable dialogue between humans and agents to foster a collaborative problem solving environment, to increase human situational awareness and to influence using visualization and shared control. We discuss theoretical implementation characteristics along with results from recent proof-of-concept implementations.