PERCy – Perceptive Dependable Cellular Networks for Road Transport
The PERCy project aims to develop a reference architecture, procedures and algorithms that facilitate advanced driver assistance systems and ultimately full automated driving by fusing data provided by onboard sensors, off-board sensors and, when available, sensory data acquired by cellular network sensing. The fused data is then exploited for safety-critical tasks such as manoeuvring of highly automated vehicles in public, open areas. This framework is motivated by the key observation that off-board sensors and information sharing extend the safe operational design domain that would be achieved when relying solely on on-board sensors, thus promising to achieve a highly improved performance-safety balance.
Advanced driver assistance systems – such as adaptive cruise control, autonomous emergency braking, blind-spot assist, lane keep assist, and vulnerable road user detection – are increasingly deployed since they increase traffic safety and driving convenience. These systems’ functional safety and general dependability depend critically on onboard sensors and associated signal processing capabilities. Since advanced driver assistance systems directly impact the driver’s reactions and the dynamics of the vehicle and can cause new hazards and accidents if they malfunction, they must comply with safety requirements. The safety relevance of onboard sensors is even higher in the case of highly automated driving, where the human driver does not supervise the driving operation. However, current standards and methodologies provide little guidance for collaborative systems, leading to many open research questions.
This project is a collaboration between KTH, Ericsson and Scania.
Watch the recorded presentation at Digitalize in Stockholm 2022 event:
Professor Unit of Mechatronics and Embedded Control Systems at KTH, Chair Working group Digitalized Industry, PI of research project PERCy, Co-PI of research project Susan’s Ride on Campus2030, Digital Futures Faculty+46 8 790 63 07
Docent and Adjunct Professor at Intelligent Systems, EECS, KTH, Co-PI of research project PERCy+46 76 842 82 29
Professor and Head of Department, Division of Information Science and Engineering at KTH, Member of the Executive Committee, Associate Director Fellows, ICT TNG Director, Working group Cooperate, Co-PI of research project PERCy, Co-PI of research project Humanizing the Sustainable Smart City (HiSS), Digital Futures Faculty+46 8 790 84 30