Autonomous, or self-driving, cars are emerging as the solution to several problems primarily
caused by humans on roads, such as accidents and traffic congestion. However, those …

Software testing is all too often simply a bug hunt rather than a well-considered exercise in
ensuring quality. A more methodical approach than a simple cycle of system-level test-fail …

The widescale deployment of Autonomous Vehicles (AV) seems to be imminent despite
many safety challenges that are yet to be resolved. It is well known that there are no …

The race for deploying AI-enabled autonomous vehicles (AVs) on public roads is based on
the promise that such self-driving cars will be as safe as or safer than human drivers …

Assuring the safety of self-driving cars and other fully autonomous vehicles presents
significant challenges to traditional software safety standards both in terms of content and …

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 …

Autonomous vehicles rely on machine learning to solve challenging tasks in perception and
motion planning. However, automotive software safety standards have not fully evolved to …

Self-driving cars are on the horizon, making it necessary to consider safety assurance and
homologation of these autonomously operating vehicles. In this study, we systematically …

In the last decade, automated driving technology has made remarkable achievements;
however, the safety of automated vehicles is not thoroughly guaranteed. Therefore, how to …

Testing Intelligence: Accelerating the Verification and Validation of Intelligent Vehicles Page
1 1 IEEE TRANSACTIONS ON INTELLIGENT VEHICLES Testing Intelligence: Accelerating …