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.

MmWave Vehicular Beam Training with Situational Awareness by Machine Learning

Abstract: Configuring beams in millimeter-wave (mmWave) vehicular communication is a challenging task. Large antenna arrays and narrow beams are deployed at transceivers to exploit beamforming gain, which leads to significant system overhead if an exhaustive beam search is adopted. In this paper, we propose to learn the optimal beam pair index by exploiting the locations and sizes of the receiver and its neighboring vehicles (parts of the situational awareness for automated driving), leveraging machine learning tools with the past beam training records. MmWave beam selection is formulated as a classification problem based on situational awareness. We provide a comprehensive comparison of different classification models and various levels of situational awareness. Practical issues are considered in realistic implementations, including GPS inaccuracies, out-dated locations due to fixed location reporting frequencies and missing features with limited connected vehicles penetration rate. The result shows that we can achieve up to 86% of alignment probability with ideal assumptions.

A Vision-Based Wayfinding System for Visually Impaired People Using Situation Awareness and Activity-Based Instructions.

Abstract: A significant challenge faced by visually impaired people is 'wayfinding', which is the ability to find one's way to a destination in an unfamiliar environment. This study develops a novel wayfinding system for smartphones that can automatically recognize the situation and scene objects in real time. Through analyzing streaming images, the proposed system first classifies the current situation of a user in terms of their location. Next, based on the current situation, only the necessary context objects are found and interpreted using computer vision techniques. It estimates the motions of the user with two inertial sensors and records the trajectories of the user toward the destination, which are also used as a guide for the return route after reaching the destination. To efficiently convey the recognized results using an auditory interface, activity-based instructions are generated that guide the user in a series of movements along a route. To assess the effectiveness of the proposed system, experiments were conducted in several indoor environments: the sit in which the situation awareness accuracy was 90% and the object detection false alarm rate was 0.016. In addition, our field test results demonstrate that users can locate their paths with an accuracy of 97%.

Human Performance, Situation Awareness and Automation. Current Research and Trends. Volume 1

Abstract: : In the era which followed the second world-war, human-machine interaction was dominated by the questions of movement control and movement accuracy as luminaries such as Craik, Crossman, McRuer, Baron and their respective colleagues fought to generate analog solutions to problems fundamentally framed as questions about analog machines. As pointed out in his admirable keynote paper (Moray, this volume), the challenge was often understood as a complex of demands but even within such multi-tasking environments, the continuous control problem was the one that thrust itself predominantly to the fore. Significant and successful efforts to address such challenges were indeed forthcoming just as the necessity of this aspect of human-machine interaction began to wane. Not merely because of the digital revolution, but also the very fact that these continuous control problems themselves were open to successful resolution left them vulnerable to the engineering community who rightfully sought to solve soluble problems. done. SA and automation-based interaction fall naturally together and the present Conference is the second incarnation of this most fruitful union. The efforts evident in the present conference are captured by a number of themes. Moray in his keynote implores us not to forget the hard won knowledge of the past, protesting that the success of quantitative modeling of skill-based behavior can well form a template for successful quantitative modeling of both rule-based and knowledge-based behavior. The technical papers in this Volume address the following broad research topics: Situational Awareness; Air Traffic Control; Stress, Workload, and Fatigue; Decision Making; and Driver Performance and Distraction.

Sol: An Agent-Based Framework for Cyber Situation Awareness

Abstract: In this article, we describe how we augment human perception and cognition through Sol, an agent-based framework for distributed sensemaking. We describe how our visualization approach, based on IHMC’s OZ flight display, has been leveraged and extended in our development of the Flow Capacitor, an analyst display for maintaining cyber situation awareness, and in the Parallel Coordinates 3D Observatory (PC3O or Observatory), a generalization of the Flow Capacitor that provides capabilities for developing and exploring lines of inquiry. We then introduce the primary implementation frameworks that provide the core capabilities of Sol: the Luna Software Agent Framework, the VIA Cross-Layer Communications Substrate, and the KAoS Policy Services Framework. We show how policy-governed agents can perform much of the tedious high-tempo tasks of analysts and facilitate collaboration. Much of the power of Sol lies in the concept of coactive emergence, whereby a comprehension of complex situations is achieved through the collaboration of analysts and agents working together in tandem. Not only can the approach embodied in Sol lead to a qualitative improvement in cyber situation awareness, but its approach is equally relevant to applications of distributed sensemaking for other kinds of complex high-tempo tasks.