Safety is one of the main challenges that prohibit autonomous vehicles (AV), requiring them
to be well tested ahead of being allowed on the road. In comparison with road tests …

This paper presents an approach for performing software in the loop testing of autonomous
vehicle software developed in the Autoware framework. Autoware is an open source …

Abstract The European research project AdaptIVe aims to achieve major breakthroughs
leading to more efficient and safer automated driving. The project develops and tests …

Vision is an important sensing modality in automated driving. Deep learning-based
approaches have gained popularity for different computer vision (CV) tasks such as …

A deep neural network (DNN)-based system is a black box of complex interactions, resulting
in a classification or prediction. We investigate the use of realistic transformations to create …

While self‐driving cars have already been widely investigated and achieved spectacular
progress, a major obstacle in applications is the great difficulty in providing formal …

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 …

Autonomous vehicles have to meet high safety standards in order to be commercially viable.
Before real-world testing of an autonomous vehicle, extensive simulation is required to verify …

The European project “euroFOT” is developing a large scale assessment program for
advanced active safety systems in cars and trucks, based on Field Operational Tests with …

Executive summary This report focuses on the testing and certification of autonomous
vehicles (AV) and the technologies and components used in their implementation …