ADOSE addresses research challenges in the area of accident prevention; the focus is on functional, performance and cost limits of current sensors and Advanced Driver Assistance Systems for their extensive market penetration.
ADOSE has been set up in the context of the “European Technology Platform on Smart Systems Integration” (EPoSS) and it aims at being a product driven project by the development and integration of Smart Systems and Technologies for Preventive and Active Safety.
The goal is the enhancement of safety functions through the development of high performance and low cost sensing technologies suitable for reliable detection and classification of obstacles and vulnerable road users in hostile environments. The project is focused mainly on sensing elements and their pre-processing hardware, as a complementary project to PReVENT.

Five sensor module prototypes will be designed, fabricated and tested:
  • FIR camera (FIR)
  • Multifunctional CMOS vision sensor (MFOS)
  • 3D range camera and eye-safety illuminator (3DCAM)
  • Harmonic radar with passive and active tags (HR P-TAG, HR A-TAG)
  • Silicon retina stereo sensor (SRS)

Only 'technology-dependent' pre-processing algorithms will be developed for each sensor: (a) algorithms implemented into the sensor hardware; (b) algorithms on raw data, coming from the sensor hardware, implemented on a PC-based processing hardware, strictly related to the sensing technology and its demonstration. Algorithm developments will not be extended to Sensor Data Fusion.

The algorithms will be compliant to PReVENT-PROFUSION guidelines and ready to be integrated in the standard software architecture for driver assistant systems.

Demonstration will be limited to functional sensor prototypes installed on concept cars without integrating the complete safety system.