Autonomous vehicles: state of art, future trends, and challenges
Book chapter, 2017

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

Verification of Autonomous Driving

Continuous Software Engineering

autonomous vehicles

Vehicle Functionality


Piergiuseppe Mallozzi

Software Engineering for People, Architecture, Requirements and Traceability

Patrizio Pelliccione

Software Engineering for Cyber Physical Systems

Alessia Knauss

Chalmers, Computer Science and Engineering (Chalmers), Software Engineering (Chalmers)

Christian Berger

Software Engineering for Cyber Physical Systems

Nasser Mohammadiha

Data Science

Automotive Software Engineering: State of the Art and Future Trends

Areas of Advance

Information and Communication Technology


Subject Categories

Other Engineering and Technologies not elsewhere specified

Vehicle Engineering


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