Sensor fusion and technologies with interacting sensors is a possibility to deal with the complex problem of IED detection. In this report, fusion of imaging passive electro-optical (EO) sensors is described as a first step in the development of a sensor fusion process. Continued work will include other sensors, with the aim of developing a general platform for decision level fusion. A field trial was carried out with the purpose of collecting data to be used for the development of algorithms for sensor fusion. A dirt road with buried IEDs and components registered with several EO sensors. Image intensity and ground surface texture is used for detecting the disturbed areas. An interesting observation is that the digging traces were detectable at least two weeks after the burial. The results indicate that automatic detection of anomalous areas is possible. Also active sensors like 3-D lidar and Raman spectroscopy have been used and developed in the project. 3-D lidar has mainly been used for change detection. The technology for stand-off detection of explosive traces based on Raman spectroscopy has been further developed and improved. A method for suppressing the fluorescence by using a Kerr cell was implemented. This improves the sensitivity by increasing the signal-to-noise ratio. Furthermore, the technique of compressive sensing with a coded aperture was used to allow imaging using a spectrometer. An important part of the project has been international contacts and international exchanges, which has increased the knowledge of technology and interesting research tracks. Participation in various working groups within NATO, EDA and the EU is reported.