Explainable AI for Safe and Trustworthy Autonomous Driving: A Systematic Review

arXiv:2402.10086v1 Announce Type: cross
Abstract: Artificial Intelligence (AI) shows promising applications for the perception and planning tasks in autonomous driving (AD) due to its superior performance compared to conventional methods. However, inscrutable AI systems exacerbate the existing challenge of safety assurance of AD. One way to mitigate this challenge is to utilize explainable AI (XAI) techniques. To this end, we present the first comprehensive systematic literature review of explainable methods for safe and trustworthy AD. We begin by analyzing the …

abstract ai systems applications artificial artificial intelligence arxiv autonomous autonomous driving challenge cs.ai cs.cv cs.hc cs.lg cs.ro driving explainable ai intelligence perception performance planning review safety shows systems tasks trustworthy type