Intention Recognition for Real-time Automotive 3D situation awareness (IRRA)

Important results from the project

The proposed project aims to develop technology that enables the introduction of new services and products based on intention recognition. Some areas that can benefit from this include passive/active safety, autonomous driving, and energy usage prediction. In particular, the current proposal aligns with the objectives of the subarea Green, Safe, Autonomous, and Connected functionalities within the program.

Expected long term effects

IRRA-projektets tillvägagångssätt för intentionerkänning omfattade en bred skala av metoder och tillämpningar och har avsevärt framskridit förståelsen och förmågorna inom detta område. Varje WP bidrog till detta mål, från grundläggande datainsamling till sofistikerad modellering av intentioner i komplexa scenarier. Dessa resultat förbättrar inte bara området för intentionerkänning utan har också praktiska implikationer, särskilt för att förbättra säkerheten och effektiviteten inom fordonssektorn.

Approach and implementation

The proposed project is a data analysis project. Both HIS and RISE SICS have well-established methodologies that have evolved over many years of research in data science. The common feature of these methodologies is that the entire data management process is taken into account; from data collection to the implementation of analysis tools on end-users´ platforms, such as decision support or control mechanisms. The work in the project will be iterative and use-case-centric with the main focus on proof-of-concept implementation.