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

… 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 … explainable artificial intelligence,
which aims to converge the decision-making processes of Autonomous Vehicle Systems (…

… 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. …

… explainability of such AI-based anomaly detection models presents challenges. This motivates
an emerging research direction of utilizing explainable … world autonomous driving datasets…

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

… Serrano1, “Explainable artificial intelligence (xai) to enhance trust management in intrusion
detection systems using decision tree model,” 2021. [12] DV Carvalho, EM Pereira, and JS …

… framework for explainable autonomous driving systems and … autonomous driving and show
the need for explainability in … help attain explainable autonomous driving systems and sum …

… used in mission critical systems such as healthcare, self-driving vehicles, and military which
… as explainable artificial intelligence, XAI, explainable machine learning, explainable deep …

… to increase further explainability of self-driving systems. Finally, Sect. 4 presents the particular
use-case of explaining a self-driving system by means of natural language justifications. …