Sensor systems for urban environment - Annual report 2007

Authors:

  • Stefan Nilsson
  • Maria Andersson
  • Marie Andersson
  • Tomas Chevalier
  • Martin Holmberg
  • Anders Gustavsson
  • Andris Lauberts
  • Dietmar Letalick
  • Lage Svensson
  • Fredrik Lantz
  • David Lindgren
  • Johan Rasmusson
  • Johan Öhgren

Publish date: 2008-01-07

Report number: FOI-R--2360--SE

Pages: 53

Written in: Swedish

Keywords:

  • Sensor Systems
  • Sensors in Network
  • Urban Environment
  • Anomalies Detection
  • Situation Picture
  • Continuous Surveillance
  • Red and Blue Force Tracking
  • Crowd Control.

Abstract

This report describes the activities carried out and the results produced in the year 2007 for the three-year Armed Forces project Sensor systems for urban environment. The project aims at studying and evaluating how various combinations of sensor systems in networks can contribute to an improved military situation awareness in the urban environment, in comparison with what the individual sensors can attain separately. The project uses expertise and results generated by FOI´s various technique projects. An objective is that the conclusions reached in the project will contribute to directing the research in the area. Together with military expertise, four urban main abilities have been chosen: "Continuous Surveillance", "Crowd Control", "Situation Picture", and "Red and Blue Force Tracking". Detection of departures from the normal picture is an important capacity that includes all the type scenarios. "Anomalies Detection" is therefore carried out as a sub- project of its own. Partial studies have been carried out that have inventoried the sensor needs for "Situation Picture" and "Red and Blue Force Tracking", and have given proposals for system-biased research activities. In the sub-projects "Continuous Surveillance" and "Crowd Control" extensive measurement campaigns have been carried out with multi-sensor systems. The collected measurement data will be used to evaluate a new operator-friendly multi-sensor fusion method for detection of weapons concealed under clothing and to evaluate how the sensor data from a combination of visual surveillance cameras and acoustic sensors can increase the possibility for robust tracking of interesting persons, detect deviant events etc.