… and provide rationales behind an automated vehicle’s real-… autonomous driving and show
the need for explainability in this … can help attain explainable autonomous driving systems and …

… Rogers, “Domain knowledge aided explainable artificial intelligence for intrusion
detection and response,” arXiv preprint arXiv:1911.09853, 2019. [33] B. Mahbooba, M. …

… The emergence of Explainable Artificial Intelligence (XAI) has enhanced the lives of humans
and … This project focuses on using XAI for self-driving vehicles to improve user acceptance. …

… the medical field or the autonomous driving field. The explainability of models applied on time
… In this paper, we present an overview of existing explainable AI (XAI) methods applied on …

… ABSTRACT Haze-level discriminators are crucial for autonomous vehicles to handle …
Moreover, we use the Explainable Artificial Intelligence (XAI) method to understand the …

… Similarly, an operator who tasks an autonomous vehicle to drive a route needs to understand
the system’s decision-making model to appropriately use it in future missions. Figure 3 …

… explainability in Machine Learning, establishing a novel definition of explainable Machine
Learning … Other examples include autonomous vehicles in transportation, security, and finance…

… safety and explainability concepts in autonomous driving; • … -hoc manners can help improve
self-driving safety; • We perform … while aiming to enhance self-driving safety. The rest of the …

… autonomous driverless vehicles [30]. ML can also be an efficient tool for managing the vehicle…
In self-driving vehicles, while deploying ML technology, we should be concerned about the …

… directly explained. This issue has triggered a new debate on Explainable Artificial Intelligence…
Automated vehicles hold the promise for decreasing traffic deaths and providing enhanced …