Skip to main content

Nissan using anthropologist to develop proPILOT autonomous vehicle

Nissan is using an array of technical talent to develop its next generation autonomous vehicle, including automobile and software engineers, experts on sensor technology and artificial intelligence, computer scientists, production specialists an anthropologist. Melissa Cefkin, principal scientist and design anthropologist at the Nissan Research Center in Silicon Valley is playing a key role in the project, analysing human driving interactions to ensure that it is prepared to be a ‘good citizen’ on the ro
August 17, 2016 Read time: 3 mins
Nissan is using an array of technical talent to develop its next generation autonomous vehicle, including automobile and software engineers, experts on sensor technology and artificial intelligence, computer scientists, production specialists an anthropologist.

Melissa Cefkin, principal scientist and design anthropologist at the Nissan Research Center in Silicon Valley is playing a key role in the project, analysing human driving interactions to ensure that it is prepared to be a ‘good citizen’ on the road.

Cefkin is a corporate and design anthropologist specialising in ethnography, is the systematic study of people and cultures from the viewpoint of the subject.

In the case of autonomous vehicles, Cefkin said that means taking a fresh look at how humans interact with ‘a deeply and profoundly cultural object’ - the automobile - and gaining insights into how new technologies might interpret or act on those behaviours.

“Car technology is continuing to evolve and change,” she said. “And now … we’re adding this autonomous dimension to it … that will bring around further changes in society, all the way down to the everyday way in which we interact and behave on the road.”

Cefkin and the other members of her team are focused on the third milestone in Nissan’s autonomous vehicle program - development of the capability for the vehicle to navigate city driving and intersections without driver intervention.

That system is expected to be introduced in 2020, following the release in July 2016 of the first of Nissan’s autonomous drive technologies, known as ProPILOT, an autonomous drive technology designed for highway use in single-lane traffic, and a multiple-lane application that can autonomously negotiate hazards and change lanes during highway driving, due in 2018.

When Cefkin joined Nissan in March 2015, she and her team immediately began documenting not just interactions in the city involving drivers, but also those between vehicles and pedestrians, bicyclists and road features.

Initial learning from the study show that drivers, pedestrians and bicyclists often use ‘eye gaze’ and forms of ‘direct communications’, such as a hand wave, to give off very clear signals about their intentions in such situations, Cefkin said.

She claimed such studies demonstrate the wisdom of having anthropologists involved in the earliest stages of vehicle design, rather than making adjustments later in the product cycle as some other automakers have done.

Related Content

  • July 17, 2012
    ITS technology reduces congestion, improves workzone safety
    As the road-building season gets under way in the US, the Federal Highway Administration has just published a White Paper which deals with the use of ITS technology in work zones. On 30 April 2009, the US Federal Highway Administration (FHWA) published a White Paper which was prepared by the US Department of Transportation (USDOT) to inform public agencies about the use of ITS to manage construction work zones. This is a particularly relevant topic given the large number of construction projects that are ex
  • July 23, 2019
    The rise and rise of robo-car
    When it comes to driverless cars, there are many variables – but one thing is for certain: autonomous driving will have a significant impact on vehicle design, says Andreas Herrmann The transition to autonomous vehicles (AVs) means that many of the factors which have shaped automotive design for the past 130 years no longer apply. At present, the design of a car is largely determined by the anticipated direction of travel: the car’s silhouette immediately shows where the front and back are. Driverless ve
  • June 3, 2020
    SPONSORED CONTENT: Using AI to achieve real traffic intelligence
    The application of artificial intelligence has the potential to transform the performance of vision-based systems used for a wide and growing set of applications. These include vehicle presence detection and identification, count and classification, and enforcement, explains Roy Czinku of International Road Dynamics
  • April 29, 2020
    E-tolling is the new normal
    Electronic tolling has become a cornerstone for the next wave of innovation, says IBTTA’s Bill Cramer. So is this the end of the road for toll plazas?