WARA-PS (Public Safety)

 

The Research Arena Public Safety provides a realistic, large scale and industrially relevant demonstration environment using scenarios that focus on keeping the society and its citizens safe when accidents, catastrophes or disruptions occur. The area of Public Safety and Security research is of increasing importance both nationally and internationally. Public Safety often means dealing with extreme situations and requires new technical solutions that can showcase the advances in Autonomous Systems and Software research.

WARA PS karta hemsidanThe goal for the Public Safety Arena is to provide an environment for testing and evaluating academic research and industrial solutions, that together form a system of systems that needs to be integrated at different levels. The Arena plans for demonstrations of a search-and-rescue scenario at the UAV Testbed in Västervik in September 2018 and September 2019. The scenario includes some twenty people being shipwrecked and spread out over a large area. The search will be conducted using several autonomous ships and drones that will plan their own routes and how to make the best use of available sensors and other capabilities. The command and control station will showcase WASP research to demonstrate both novel ways to operate and to process incomplete and heterogeneous information. The research arena has a strong involvement of, among others, SAAB, Ericsson, Axis Communication and UMS Skeldar.

 

WASP PhD interaction

Close to twenty WASP PhDs have expressed interest in showcasing research in the WARA PS Arena. Their research include areas such as:

  • Integrated task, and trajectory planning for quadcopters, coordinated motion planning
  • Operator assistance using augmented reality to improve operator situation awareness
  • Motion planning, path following, control and stability analysis
  • Optimal rendezvous control using MPC when landing a UAV on a boat
  • The Mission Critical Cloud with high demand in latency, availability, robustness and predictability
  • Positioning and navigation without GPS
  • Collision avoidance based on closed loop perception
  • Control of UAVs using sensor/planning information
  • Image processing, semantic image segmentation
  • Command and control of UAV/USV fleet in S&R missions
  • 3D tracking, on-line machine learning, multi sensor fusion, object detection
  • Resource management over large networks, self-awareness and distributed data sharing, video compression and video quality assessment

 

The Core Team consists of researchers and engineers from Saab Aeronautics, Saab Surveillance, Saab Kockums, Axis Communications, UMS Skeldar, Ericsson AB, Linköping University and RISE SICS East. The team integrates existing products and research platforms from the industry, a service distribution framework for autonomy from Linköping University and new software to “plug-in” research results from the WASP PhDs. The development and research integration will continue up to the first demonstration of the WARA PS Arena in September 2018 in Västervik and the final demonstration a year later in September 2019.

 

An Axis PTZ camera with laser focus has been mounted on a Piraya autonomous boat from Saab Kockums. During test-runs we have recorded video streams that can be used to train algorithms to detect coastline and objects in the water.
An Axis PTZ camera with laser focus has been mounted on a Piraya autonomous boat from Saab Kockums. During test-runs we have recorded video streams that can be used to train algorithms to detect coastline and objects in the water.

 

Project courses

As a prequel to the WARA PS Arena we are currently running three project courses with WASP PhD students. The goal is to familiarize the students with the software and hardware in the system and to demonstrate key components that will be reused in the WARA PS scenario. The three project courses are:

  • USV Situation Awareness: create a system that identifies (and classifies) objects in the path of a Piraya USV based on a video stream from an onboard Axis camera.
  • Integrating sense/avoid algorithms with path planners for UAVs: use two UAVs to detect, track and avoid mid-air collisions using on-board sensor and external navigation support.
  • Monitoring of IoT-nodes: create a situational picture based on information from a UAV to visualize movements of objects that have been outfitted with Bluetooth transmitters.