Future autonomous systems will employ sophisticated machine learning techniques for the sensing and perception of the surroundings and the making corresponding decisions for …
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 …
During the operation of many real-time safety-critical systems, there are often strong needs for adapting to a dynamic environment or evolving mission objectives, eg, increasing …
P Pazzaglia, M Maggio - IEEE Transactions on Computer-Aided …, 2022 - ieeexplore.ieee.org
Modern embedded software includes complex functionalities and routines, often implemented by splitting the code across different tasks. Such tasks communicate their …
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 …
H Choi, H Kim, Q Zhu - IEEE Internet of Things Journal, 2021 - ieeexplore.ieee.org
Recent applications of the Internet of Things and cyber-physical systems require the integration of many sensing and control tasks into resource-constrained embedded devices …
Automotive cyber-physical systems consist of multiple control subsystems working under resource limitations, and the trend is to run the corresponding control tasks on a shared …
Abstract Design and development of connected and autonomous vehicles (CAVs) are accompanied by a growing concern over the safety of these systems. This chapter will …
Correctness of controller implementations rely on real-time guarantees that all control tasks finish execution by their prescribed deadlines. However, with increased complexity and …