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DRAMA - DRiver Activity MApping

Reference number
Coordinator RISE Research Institutes of Sweden AB - RISE Viktoria, Göteborg
Funding from Vinnova SEK 4 850 000
Project duration March 2018 - February 2020
Status Completed
Venture Electronics, software and communication - FFI
End-of-project report 2017-05503engelska.pdf (pdf, 6606 kB)

Purpose and goal

DRAMA project studies possible mappings and modelings of people´s behaviour in vehicles with computer vision and machine learning to enable improved security and UX functionality. The project develops knowledge, frameworks and prototypes. Including: - List of driver / passenger activities in cabin that are important for safety and comfort. - Mappings of body posture, facial expressions, main position, objects and movements - Modeling of in-cabin activities / interactions. - Potential Applications

Expected results and effects

The project delivers the following results: - Lists of in-cabin activity scenarios that are related to safety/comfort in SAE2-5 vehicles. - Mappings and modellings of in-cabin activities and recognition modules providing important information from different perspectives for UX/safety applications in highly automated vehicles. This will help to correctly adjust vehicle behaviours based on in-cabin context for safer and better comfort rides. Understanding of what peoples are doing inside the cabin can also be used for prediction of their intentions and expectations.

Planned approach and implementation

The project is a collaboration in research and development. The works were carried out in an iterative approach involving the business areas: brainstorming workshops, interviews, data analysis, and prototype developments. Stake holders from a research institute, SME and advisory board from OEMs were involved, forming a strong and flexible team. The continuous supports and high enthusiasm from all stakeholders to keep the project towards its main goals while conducting different attempts are the key success factors.

External links

The project description has been provided by the project members themselves and the text has not been looked at by our editors.

Last updated 18 May 2020

Reference number 2017-05503

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