Autonomous vehicles pose new challenges to their testing, which is required for safety
certification. While Autonomous vehicles will use training sets as specification for machine …

Autonomous vehicles controlled by advanced machine learning techniques are significantly
gaining in popularity. However, the safety engineering practices currently used in such …

Research and development in the field of automated vehicles has increased along with
related works about its software. Software testing in automated vehicles is key to launching …

Automated vehicles are not supposed to fail at any time or in any situations during driving.
Thus, vehicle manufactures and proving ground operators are challenged to complement …

Reliability and safety are important properties in the development of complex cyber-physical
systems such as autonomous vehicles. Achieving a reliable autonomous vehicle is a …

In this paper, we outline a general automated testing approach to be applied for verification
and validation of automated and autonomous driving functions. The approach makes use of …

While autonomous driving systems are expected to change future means of mobility and
reduce road accidents, understanding intensive and complex traffic situations is essential to …

Massive investment in'intelligent'vehicle technologies is going to turn autonomous vehicles
into reality in a few years. The insertion of this intelligence at the road vehicles is expected to …

Market readiness of on-board automotive software-intensive systems is tightly linked to the
availability of appropriate certification schemes aimed at keeping the car makers confident …

Development of autonomous vehicles is seen as a solution to many of today's societal and
everyday issues such as traffic congestion, road accidents, and air pollution. Unmanned …