“…Of particular interest was to see how the user’s situational awareness and cognitive load are affected when using such GUIs in comparison to using traditional ones. To answer these questions, we proposed a 3D-visualisation of the ship’s surroundings either on a computer screen or in a virtual reality (VR) setup [ 59 , 60 ]. The perception of a 3D GUI in VR resembles how a human normally perceives the world, which is assumed to be beneficial for human-machine communication.…”
“…24 . We found that this extension to the GUI was very suitable to both provide another information (sensory) channel to the positioning system, and to enhance the users’ experience regarding the overall understanding (awareness) of the situation the vessel was in at any given time [ 60 ]. Fig.…”
A research arena (WARA-PS) for sensing, data fusion, user interaction, planning and control of collaborative autonomous aerial and surface vehicles in public safety applications is presented. The objective is to demonstrate scientific discoveries and to generate new directions for future research on autonomous systems for societal challenges. The enabler is a computational infrastructure with a core system architecture for industrial and academic collaboration. This includes a control and command system together with a framework for planning and executing tasks for unmanned surface vehicles and aerial vehicles. The motivating application for the demonstration is marine search and rescue operations. A state-of-art delegation framework for the mission planning together with three specific applications is also presented. The first one concerns model predictive control for cooperative rendezvous of autonomous unmanned aerial and surface vehicles. The second project is about learning to make safe real-time decisions under uncertainty for autonomous vehicles, and the third one is on robust terrain-aided navigation through sensor fusion and virtual reality tele-operation to support a GPS-free positioning system in marine environments. The research results have been experimentally evaluated and demonstrated to industry and public sector audiences at a marine test facility. It would be most difficult to do experiments on this large scale without the WARA-PS research arena. Furthermore, these demonstrator activities have resulted in effective research dissemination with high public visibility, business impact and new research collaborations between academia and industry.
“…Of particular interest was to see how the user’s situational awareness and cognitive load are affected when using such GUIs in comparison to using traditional ones. To answer these questions, we proposed a 3D-visualisation of the ship’s surroundings either on a computer screen or in a virtual reality (VR) setup [ 59 , 60 ]. The perception of a 3D GUI in VR resembles how a human normally perceives the world, which is assumed to be beneficial for human-machine communication.…”
“…24 . We found that this extension to the GUI was very suitable to both provide another information (sensory) channel to the positioning system, and to enhance the users’ experience regarding the overall understanding (awareness) of the situation the vessel was in at any given time [ 60 ]. Fig.…”
A research arena (WARA-PS) for sensing, data fusion, user interaction, planning and control of collaborative autonomous aerial and surface vehicles in public safety applications is presented. The objective is to demonstrate scientific discoveries and to generate new directions for future research on autonomous systems for societal challenges. The enabler is a computational infrastructure with a core system architecture for industrial and academic collaboration. This includes a control and command system together with a framework for planning and executing tasks for unmanned surface vehicles and aerial vehicles. The motivating application for the demonstration is marine search and rescue operations. A state-of-art delegation framework for the mission planning together with three specific applications is also presented. The first one concerns model predictive control for cooperative rendezvous of autonomous unmanned aerial and surface vehicles. The second project is about learning to make safe real-time decisions under uncertainty for autonomous vehicles, and the third one is on robust terrain-aided navigation through sensor fusion and virtual reality tele-operation to support a GPS-free positioning system in marine environments. The research results have been experimentally evaluated and demonstrated to industry and public sector audiences at a marine test facility. It would be most difficult to do experiments on this large scale without the WARA-PS research arena. Furthermore, these demonstrator activities have resulted in effective research dissemination with high public visibility, business impact and new research collaborations between academia and industry.
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