Future autonomous systems will employ complex sensing, computation, and communication
components for their perception, planning, control, and coordination, and could operate in …

The rapid advancement of edge and cloud computing platforms, vehicular ad-hoc networks,
and machine learning techniques have brought both opportunities and challenges for next …

Weakly-hard systems are real-time systems that can tolerate occasional deadline misses in
a bounded manner. Compared with traditional systems with hard deadline constraints, they …

Control schemes for autonomous systems are often designed in a way that anticipates the
worst case in any situation. At runtime, however, there could exist opportunities to leverage …

Weakly-hard models have been used to analyse real-time systems subject to patterns of
deadline hits and misses. However, the tools that are available in the literature have a set of …

The concept of weakly hard real-time systems can be used to model real-time systems that
may tolerate occasional deadline misses in a bounded and predictable manner. This model …

For many embedded systems, such as automotive electronic systems, security has become
a pressing challenge. Limited resources and tight timing constraints often make it difficult to …

Many safety-critical real-time systems operate under harsh environment and are subject to
soft errors caused by transient or intermittent faults. It is critical and yet often very challenging …

We introduce SAW, a tool for safety analysis of weakly-hard systems, in which traditional
hard timing constraints are relaxed to allow bounded deadline misses for improving design …

The recent development of cloud computing and edge computing shows great promise for
the Connected and Automated Vehicle (CAV), by enabling CAVs to offload their massive on …