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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.


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Proceedings ArticleDOI
16 Dec 2011
TL;DR: This work designs and implements AR for supporting driving visual guidance and integrates driving information from Controller Area Network, Global Positioning System, navigation system, and other related information and uses HUD technology to project it to the windscreen and improves driver's situation awareness.
Abstract: It is an important issue that let drivers obtain driving information easily. There are many advanced electronic devices used for driving safety assistance. During driving a car, the driver receives the information passed by these systems. But with more functionality, more and more information will be generated and make the driving environment very complicated that makes it very difficult for the drivers to digest and response to all of the information. This highlights the importance of integrating all of the driving information. Augmented Reality (AR) with Head-Up Displays (HUDs) has recently attracted the attention in the field of automotive research. In this work, we design and implement AR for supporting driving visual guidance. We integrate driving information from Controller Area Network (CAN), Global Positioning System (GPS), navigation system, and other related information and use HUD technology to project it to the windscreen. This technique improves driver's situation awareness by dynamically combining more information imaging, called Point of Interest (POI), with global maps. The driver can easily see his/her driving guidance without having to turn his/her head off the driving direction using our augmented reality guidance, drivers can drive more easily.

25 citations

Proceedings ArticleDOI
13 Oct 2003
TL;DR: NVisionIP is unique from existing systems in that it simultaneously visualizes multidimensional characteristics of individual computers as well as their relationship to network-wide security events in an entire Class B IP address space.
Abstract: Situational awareness of the state of military computer networks is important for both tactical battlefield operations and strategic command-and-control networks. While there have been successful efforts to visualize the state of individual network infrastructure components (routers, links) using SNMP and other network management tools, these systems do not focus on security. Although there have been multiple research proposals, to our knowledge there have only been two realized systems which attempt to visualize security events. Assessing the overall security of a large and complex network is an open problem due to the multidimensional data space. We present a tool, NVisionIP, that makes a direct contribution to solving this open problem. NVisionIP is unique from existing systems in that it simultaneously visualizes multidimensional characteristics of individual computers as well as their relationship to network-wide security events in an entire Class B IP address space.

25 citations

Journal ArticleDOI
TL;DR: The real-time emergency response (rtER) system as discussed by the authors is a system for managing the potential torrents of data that are available during a crisis, and that could easily overwhelm human cognitive capacity in the absence of technological mediation.
Abstract: The decision-making process during crisis and emergency scenarios intertwines human intelligence with infocommunications. In such scenarios, the tasks of data acquisition, manipulation, and analysis involve a combination of cognitive processes and information and communications technologies, all of which are vital to effective situational awareness and response capability. To support such capabilities, we describe our real time emergency response (rtER) system, implemented with the intention of helping to manage the potential torrents of data that are available during a crisis, and that could easily overwhelm human cognitive capacity in the absence of technological mediation. Specifically, rtER seeks to address the research challenges surrounding the real-time collection of relevant data, especially live video, making this information rapidly available to a team of humans, and giving them the tools to manipulate, tag, and filter the most critical information of relevance to the situation.

25 citations

Journal ArticleDOI
01 Jan 2016
TL;DR: In this article, a new training design for general aviation pilots is presented, which involves theoretical information about scanning techniques and situation awareness and is combined with practical exercises -either in a flight simulator or in real flight sessions.
Abstract: Numerous studies in high-risk work settings reveal the great amount of human related causes in accident and incidents occurrences (e.g., Flin, 2008; Helmreich, 2000; Reason, 1990). Moreover, Endsley (1999) points out that about 88% of all accident causes can be traced back to situation awareness (L1 perception [76.3%], L2 comprehension [20.3%], and L3 anticipation [3.4%]). As there is no common and standardized training content on scanning behavior and situation awareness in today’s flight school education in Switzerland, an effective training concept is necessary a) to support pilots in achieving and maintaining appropriate scanning skills; b) to develop personal mechanisms in handling situation awareness and c) to regain situation awareness after an unexpected event (e.g., LOC-I). The following paper aims at demonstrating a new training design for general aviation pilots. The training involves theoretical information about scanning techniques and situation awareness and is combined with practical exercises - either in a flight simulator or in real flight sessions. During the practical training session, the pilot wears an eye tracking device, which provides the flight instructor (trainer) with immediate information on the pilot’s scanning patterns and state of situation awareness.

25 citations

Journal ArticleDOI
TL;DR: In this article, a multi-objective problem of UAV placement, users-UAV connectivity, distance, and cost is formulated, and a high complexity branch and bound (B&B) algorithm is proposed to find an optimal solution.

25 citations


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Performance
Metrics
No. of papers in the topic in previous years
YearPapers
20241
2023429
2022949
2021302
2020417
2019422