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
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Chalmers, Computer Science and Engineering (Chalmers), Software Engineering (Chalmers)
[Person cefa254f-7896-4137-b46b-cb6a1163003a not found]
University of Gothenburg
[Person dbe4bf15-c24f-4467-8569-d0f66ff5cf77 not found]
Chalmers, Computer Science and Engineering (Chalmers), Software Engineering (Chalmers)
[Person df53c623-17bf-4d2d-8b32-c2407e17c8b6 not found]
University of Gothenburg
[Person 60ce2635-3ae8-4301-9868-7f1e9caab87d not found]
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 (SSIF 2011)
Other Engineering and Technologies not elsewhere specified
Vehicle Engineering
Robotics
DOI
10.1007/978-3-030-12157-0_16