The use of neural networks and reinforcement learning has become increasingly popular in autonomous vehicle control. However, the opaqueness of the resulting control policies …
With the advancements in utilizing Artificial Intelligence (AI) in embedded safety-critical systems based on Field-Programmable Gate Arrays (FPGAs), assuring that these systems …
ABSTRACT Vehicular Ad-Hoc Networks (VANETs), a subset of Mobile Ad-Hoc Networks (MANETs), are wire-less networks formed around moving vehicles, enabling communication …
Cyber-Physical Systems (CPSs) intertwine distributed controllers, which control physical processes. As these systems require guarantees on their stability and safety, there is a need …
QH Luu, H Liu, TY Chen, HL Vu - IEEE Transactions on …, 2024 - ieeexplore.ieee.org
Being an indispensable part of future autonomous transportation systems, autonomous vehicles (AVs) are expected to drive safely with minimal human inputs. In addition to safety …
Artificial intelligence, and the ability to learn optimized solutions that comply with a set of safety rules, could facilitate the human-based design process of safety-critical systems …
The rapid development and deployment of autonomous vehicles (AVs) present unprecedented opportunities and challenges in the transportation sector. While AVs promise …
N Neelofar, A Aleti - ACM Transactions on Software Engineering and …, 2024 - dl.acm.org
Ensuring the safety of autonomous vehicles (AVs) is of utmost importance, and testing them in simulated environments is a safer option than conducting in-field operational tests …
Empirical studies on formal methods and tools are rare. In this paper, we provide guidelines for such studies. We mention their main ingredients and then define nine different study …