Skip to main content

PERCy – Perceptive Dependable Cellular Networks for Road Transport

About the project
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.

Background
Advanced driver assistance systems – such as adaptive cruise control, autonomous emergency braking, blind-spot assist, lane keep assist, and vulnerable road user detection – are becoming increasingly deployed, since they increase traffic safety and driving convenience. The functional safety and general dependability of these systems depend critically on onboard sensors and associated signal processing capabilities. Since advanced driver assistance systems have a direct impact on 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. Current standards and methodologies, however, provide little guidance for collaborative systems, leading to a number of open research questions.

Crossdisciplinary collaboration
This project is a collaboration between KTH, Ericsson and Scania.

Follow us on social media to stay updated with our current research

Contacts

Picture of Martin Törngren

Martin Törngren

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
martint@kth.se

Gabor Fodor

Docent and Adjunct Professor at Intelligent Systems, EECS, KTH, Co-PI of research project PERCy

+46 76 842 82 29
gaborf@kth.se
Picture of Ulrik Janusson

Ulrik Janusson

Technology leader automation, Scania, Co-PI of research project PERCy

Photo of Mikael Skoglund

Mikael Skoglund

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
skoglund@kth.se
Picture of Stefano Sorrentino

Stefano Sorrentino

Principal researcher, Ericsson AB, Co-PI of research project PERCy