Started in 2010, the European research project interactIVe takes the next step towards our vision of accident-free traffic, thanks to active intervention technologies in intelligent vehicles.

The interactIVe (accident avoidance by active intervention for intelligent vehicles) project addresses the development and evaluation of next-generation safety systems for intelligent vehicles. Based on active intervention the driver will be supported in hazardous situations. In contrast to currently available advanced driver assistance systems (ADAS) that are typically implemented as independent functions, interactIVe is based on the concept that by integrating applications together, vehicle components may be shared among the various safety systems.

Sensing environment is a major cornerstore for many intelligent vehicle applications (collision avoidance, collision mitigation, lane departure warning, adaptive cruise control). Within the interactIve integrated project the perception platform represents an essential part of the system. For advanced safety systems, highly reliable information about the vehicle’s environment is required for the control of actuators. By combining the information from different sensors, innovative sensor data fusion methods will be pursued to achieve a high degree of sensor reliability and to obtain a more solid information about the environment. Apart from well-known sensor technologies like radar and vision, information sources such as digital map databases and C2X communication will enhance the perception of the environment.

FORWISS will investigate and apply novel research approaches to improve the efficiency and quality of sensor data fusion. Especially we are engaged on attention-focused data fusion for emergency situations by controlling the fusion system based on areas of interest. This includes ways to trigger the perception system from the application in order to prioritise certain objects in close environment, verification of these objects in an emergency mode and returning to standard processing. We are developing f.i. modules for the recognition of unavoidable crash situations and camera based road detection systems.

• Erich Fuchs
• Eva Lang
• Sebastian Pangerl