The project has funded research with practical as well as theoretical significance regarding methods for fusing data from from a variety of sensors that vehicles are expected to be equipped with in the near future. The purpose of the project's research activities has been to develop fusion strategies for use in intelligent safety systems in order to save lives and reduce injuries resulting from traffic accidents, either by reducing the accident frequency or by making the accidents less severe. The goals have been achieved through several contributions within the area, published in prestigious journals and on selected conferences. Examples of the practical significance of the work can be seen in the project NHCT, where some of the results were implemented and tested in demonstration vehicles. Another example is the article Sensor data fusion for multiple sensor configurations [4] which describes a fusion architecture that will have practical impact at AB Volvo. The significance and direction of research is reflected in the contributions, wholly or partially funded by the project , see chapter 6.2 in the report. In addition, the form of collaboration where co-location at the University was essential and significantly contributed to the close cooperation between industry and academia, illustrated by the many ad-hoc networks that contributed to the publication list.