… To tackle these problems, we design an Explainable Artificial Intelligence (XAI) Federated …
trustworthiness of the trajectory decisions for newcomer Autonomous Vehicles (AVs). When a …

… FL) of eXplainable Artificial Intelligence (XAI) models as an enabling technology in advanced
5G towards 6G systems and discusses its applicability to the automated vehicle networking …

… of building eXplainable AI. Finally, the policies for developing TAI in the autonomous vehicle
… , interpretable, eXplainable, and Trustworthy AI systems are explained to guarantee safe …

… The emergence of autonomous vehicles (AVs) presents a transformative shift in personal …
This research paper investigates the role of Explainable Artificial Intelligence (XAI) in …

… They then developed a multi-layer neuro-fuzzy modeling method to extract large numbers
of conditional (if … then) statements as rules for autonomous vehicles in hazardous conditions…

… In 2016, a self-driving car was launched on quiet roads in Monmouth County, New Jersey. …
Nvidia did not look different from other autonomous cars; however, Google was different from …

… automated or semi-automated systems. To facilitate greater human acceptability of these
systems, explainable artificial intelligence (… with a paucity of explainability and interpretability. …

… , organizing, and discussing the recent work on explainability for AV. Only road AVs are
considered in this section, other self-driving vehicles from other modes of transport such as aerial…

… Artificial intelligence (AI) is becoming prevalent in everyday … as passengers of the vehicles
in driving video clips of a variety … driver types and general trust level on autonomous vehicles. …

… true in the field of automated driving since the level of … field of Explainable AI (XAI) in the
context of automated driving since … use of artificial intelligence, including machine learning and …