Essays about: "Situational Awareness"

Showing result 1 - 5 of 102 essays containing the words Situational Awareness.

  1. 1. Human-Multi-Drone Interaction in Search and Rescue Systems under High Cognitive Workload

    University essay from Umeå universitet/Institutionen för datavetenskap

    Author : Johanna Ahlskog; [2024]
    Keywords : Unmanned aerial vehicle; human-drone interaction; cognitive workload; trust; search and rescue; drone swarm; situational awareness; multi-drone systems;

    Abstract : Unmanned Aerial Vehicles (UAV), often referred to as drones, have seen increased use in search and rescue (SAR) missions. Traditionally, these missions involve manual control of each drone for aerial surveillance. READ MORE

  3. 2. DRIVER ENGAGEMENT User experience of static & dynamic interaction and engagement in Non-Driving Related Activities in Automated Vehicles - An experimental study

    University essay from Institutionen för tillämpad informationsteknologi

    Author : Elin Johansson; Sara Börjesson; [2023-05-19]
    Keywords : Non-Driving Related Activities; Take-over Request; SAE Level 4; Engagement; Situational Awareness; Self Assessment Manikin; The Contextual Control Model; Take-Over Scenario;

    Abstract : The rapid development of automation in vehicles is reshaping the role of the driver and consequently changing driver behavior. This study is based on the SAE level 4 of automation, i.e the autonomous vehicle (AV) can drive fully autonomously in a conditioned area. READ MORE

  4. 3. Information requirements for future operators of autonomous drones at airports

    University essay from Linköpings universitet/Institutionen för datavetenskap

    Author : Jonathan Källbäcker; [2023]
    Keywords : Autonomous drones; airports; cognitive work analysis; thematic analysis; interface requirements; information requirements.;

    Abstract : To gain an understanding about what information requirements there are for future operators of autonomous drone swarms at airport, this study examined how work at airports is structured today, what staff at airports think about the potential implementation of autonomous drones, and what potential interface components that are necessary to be able to control these drones. Interviews and observations were made at five different airports and air traffic control towers with tower and ground staff. READ MORE

  5. 4. Data-Driven Reachability Analysis of Pedestrians Using Behavior Modes : Reducing the Conservativeness in Data-Driven Pedestrian Predictions by Incorporating Their Behavior

    University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)

    Author : August Söderlund; [2023]
    Keywords : Data-driven reachability analysis; Autonomous vehicles; Automated safety; Autonomous situational awareness; Datadriven nåbarhetsanalys; Autonoma fordon; Automatiserad säkerhet; Autonom situationsmedvetenhet;

    Abstract : Predicting the future state occupancies of pedestrians in urban scenarios is a challenging task, especially considering that conventional methods need an explicit model of the system, hence introducing data-driven reachability analysis. Data-driven reachability analysis uses data, inherently produced by an unknown system, to perform future state predictions using sets, generally represented by zonotopes. READ MORE

  6. 5. Deep Learning Model Deployment for Spaceborne Reconfigurable Hardware : A flexible acceleration approach

    University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)

    Author : Javier Ferre Martin; [2023]
    Keywords : Space Situational Awareness; Deep Learning; Convolutional Neural Networks; FieldProgrammable Gate Arrays; System-On-Chip; Computer Vision; Dynamic Partial Reconfiguration; High-Level Synthesis; Rymdsituationstänksamhet; Djupinlärning; Konvolutionsnätverk; Omkonfigurerbara Field-Programmable Gate Arrays FPGAs ; System-On-Chip SoC ; Datorseende; Dynamisk partiell omkonfigurering; Högnivåsyntes.;

    Abstract : Space debris and space situational awareness (SSA) have become growing concerns for national security and the sustainability of space operations, where timely detection and tracking of space objects is critical in preventing collision events. Traditional computer-vision algorithms have been used extensively to solve detection and tracking problems in flight, but recently deep learning approaches have seen widespread adoption in non-space related applications for their high accuracy. READ MORE