… investigations on explainable AI-based autonomous driving. … a general explainable
autonomous driving framework that … software architecture of intelligent driving systems. Finally, …

… Transparency of the vehicle’s thought processes can assure the user … explainable artificial
intelligence, which aims to converge the decision-making processes of Autonomous Vehicle …

… 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 …

Artificial intelligence (AI) is the most looked up … intelligent transportation systems (ITS),
medicine, healthcare, military operations, or others. One such application is autonomous vehicles (…

… of autonomous driving algorithms, this paper focuses on the “goal-induced” nature of driving
tasks and thereby develops an explainable end-to-end vision-based autonomous driving …

… Then we take the autonomous car as a use-case and discuss the applications of XAI for its
different components such as object detection, perception, control, action decision, and so on. …

… autonomous driving. We propose an XAI framework that leverages the XAI explanatory power
to understand AI decisions on two autonomous driving … two autonomous driving datasets (…

… Abstract—Nowadays, deep neural networks are widely used in mission critical systems
such as healthcare, self-driving vehicles, and military which have direct impact on human lives. …

… to provide a comprehensive survey of AI, explainable artificial intelligence (XAI) based methods,
… Tyagi, “Blockchain-based security attack resilience schemes for autonomous vehicles in …

Explainable Artificial Intelligence (XAI) for Autonomous Surface Vehicles (ASVs) addresses
developers’ needs for model interpretation, understandability, and trust. As ASVs approach …