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Piedmont Region, European Fund for Regional Development, Republic of Italy

Autumn: envisioning semi-autonomous driving

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Autumn: envisioning semi-autonomous driving

Piedmont Region, European Fund for Regional Development, Republic of Italy

The Autumn concept changes the way we think about safety, and about how we interact with the car and the environment while driving. Our solution remembers the human in the car, and uses semi-autonomous models to actually enhance the driver's awareness, response time and safety.

3 things to know

  1. The EU commissioned a research project to identify innovative human-computer interaction solutions for driving safety.

  2. Experientia’s solution, Autumn, envisions new uses for the latest in sensor and communication technologies and creates innovative changes to the way people interact with the environment while driving.

  3. Autumn was showcased in a first-person perspective video prototype. It was also presented at the EPIC (applied ethnography) conference in Boulder, Colorado, 2011.

Envisioning new uses for the latest in sensor and communication technologies, the Autumn concept identifies ways to increase the information flow between surroundings, vehicle and driver at strategic moments, in order to enhance the driver’s awareness of danger and actively prevent accident situations from arising.

Experientia developed a model of cognition, describing the driving process and where failures occur that lead to accident situations. The research team began by exploring existing models, but then developed a broader understanding of concepts such as “human error”, and the chain of events that leads to accidents. The result was the “situated model of driving”, which postulates that driving is a system made up of continuous interaction between the driver, the vehicle and the environment, which occurs at a subconscious level in normal situations, and at a heightened level of conscious alertness during unexpected events.

The team then developed the Autumn concept, a system to help prevent accidents from occurring, through a series of advanced feedback mechanisms that aid the driver’s awareness of surroundings and potential dangers before corrective actions need to take place.

The concept was showcased in a first-person perspective video prototype (see above). It was also presented at the Epic conference in Boulder, Colorado, 2011.

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