Autonomous vehicles: state of art, future trends, and challenges
Book chapter, 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 properties.auto

Continuous Software Engineering

autonomous vehicles

Vehicle Functionality

Verification of Autonomous Driving

Author

Piergiuseppe Mallozzi

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

Patrizio Pelliccione

University of Gothenburg

Alessia Knauss

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

Christian Berger

University of Gothenburg

Nasser Mohammadiha

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

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

347-367
978-3-030-12157-0 (ISBN)

Areas of Advance

Information and Communication Technology

Transport

Subject Categories

Other Engineering and Technologies not elsewhere specified

Vehicle Engineering

Robotics

DOI

10.1007/978-3-030-12157-0_16

More information

Latest update

3/30/2022