RobustSENSEProject ID: 661933
Financé au titre de:
Robust and Reliable Environment Sensing and Situation Prediction for Advanced Driver Assistance Systems and Automated Driving
Détails concernant le projet
Coût total:EUR 8 663 008
Contribution de l'UE:EUR 3 348 357,55
Appel à propositions:ECSEL-2014-1See other projects for this call
Régime de financement:ECSEL-RIA - ECSEL Research and Innovation Action
Today’s driver assistance systems offer comfort and safety in sound environmental conditions. However, in harsh environment conditions – when needed most – systems stop working due to reduced sensor information quality. Targeting to the area of highly automated driving the improvement of perception, decision and planning under adverse conditions is one of the main challenges to be addressed.
RobustSENSE is a project aiming at automated and safe mobility. Its goal is making systems able to cope with real world requirements under all environmental conditions. The RobustSENSE system introduces reliable, secure and trustable sensors and software by implementing self-diagnosis, adaptation and robustness. By managing diversity, complexity and safety it increases yield, robustness and reliability.
RobustSENSE develops metrics to measures sensor system reliability on every level of assistance and automation systems as well as investigate approaches to improve the system. RobustSENSE thus aims at enhancing the robustness of all sensing methods and algorithms required for advanced driver assistance systems and automated driving.
RobustSENSE moves from a platform consisting of several independent subsystems to a holistic approach. RobustSENSE introduces both, reliability measures and self monitoring across all levels of the system allowing two things: 1) Taking appropriate actions and algorithms on the respective system level to react on performance reduction caused by technical failure or changing environment conditions and 2) propagating reliability measures to a higher system level for decision making and taking appropriate actions therein.
Thus, the area of operation of highly automated driving functions is permanently adapted to the present available performance of the perception and decision making system in order to guarantee a safe driving status at any time.
Contribution de l'UE: EUR 335 222
Contribution de l'UE: EUR 326 645,42
TORGAUER STRASSE 12-15 EUREF CAMPUS HOUSE 13
Contribution de l'UE: EUR 109 236
Contribution de l'UE: EUR 82 523
Contribution de l'UE: EUR 202 389
Robert-Bosch Platz 1
Contribution de l'UE: EUR 281 125
STRADA TORINO 50
Contribution de l'UE: EUR 79 544
POLIGONO INDUSTRIAL A GRANXA 249
36400 PORRINO PONTEVEDRA
Contribution de l'UE: EUR 201 013
GRAN VIA DE CARLES III 98
Contribution de l'UE: EUR 294 849
Contribution de l'UE: EUR 495 133,13
HAID UND NEU STRASSE 10-14
Contribution de l'UE: EUR 101 303
Contribution de l'UE: EUR 61 165
Contribution de l'UE: EUR 303 700
ERWIN SICK STRASSE 1
Contribution de l'UE: EUR 347 760
Contribution de l'UE: EUR 126 750