Ensuring the safety of fully autonomous vehicles requires a multi-disciplinary approach
across all the levels of functional hierarchy, from hardware fault tolerance, to resilient …

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 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 …

Validating the safety of Highly Automated Vehicles (HAVs) is a significant autonomy
challenge. HAV safety validation strategies based solely on brute force on-road testing …

Scenarios Engineering: Enabling Trustworthy and Effective AI for Autonomous Vehicles Page
1 1 IEEE TRANSACTIONS ON INTELLIGENT VEHICLES Scenarios Engineering: Enabling …

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 …

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 …

Autonomous vehicle (AV) software is typically composed of a pipeline of individual
components, linking sensor inputs to motor outputs. Erroneous component outputs …

As technology has evolved, cities have become increasingly smart. Smart mobility is a
crucial element in smart cities, and autonomous vehicles are an essential part of smart …

Connected Autonomous Vehicles (CAVs) are transformational technologies that have
demonstrated significant potential for shaping the future of transportation systems. CAV …