Autonomous vehicles: state of art, future trends, and challenges
Kapitel i bok, 2019

Autonomous vehicles are considered to be the next big thing. Several companies are racing to put self-driving vehicles on the road by 2020. Regulations and standards are not ready for such a change. New technologies, such as the intensive use of machine learning, are bringing new solutions but also opening new challenges. This paper reports the state of the art, future trends, and challenges of autonomous vehicles, with a special focus on software. One of the major challenges we further elaborate on is using machine learning techniques in order to deal with uncertainties that characterize the environments in which autonomous vehicles will need to operate while guaranteeing safety

Continuous Software Engineering

autonomous vehicles

Vehicle Functionality

Verification of Autonomous Driving


Piergiuseppe Mallozzi

Chalmers, Data- och informationsteknik, Software Engineering

Patrizio Pelliccione

Göteborgs universitet

Alessia Knauss

Chalmers, Data- och informationsteknik, Software Engineering

Christian Berger

Göteborgs universitet

Nasser Mohammadiha

Chalmers, Data- och informationsteknik, Data Science

Automotive Systems and Software Engineering: State of the Art and Future Trends

978-3-030-12157-0 (ISBN)


Informations- och kommunikationsteknik



Övrig annan teknik


Robotteknik och automation



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