Explainability of deep vision-based autonomous driving systems: Review and challenges. (arXiv:2101.05307v2 [cs.CV] UPDATED)

This survey reviews explainability methods for vision-based self-driving
systems trained with behavior cloning. The concept of explainability has
several facets and the need for explainability is strong in driving, a
safety-critical application. Gathering contributions from several research
fields, namely computer vision, deep learning, autonomous driving, explainable
AI (X-AI), this survey tackles several points. First, it discusses definitions,
context, and motivation for gaining more interpretability and explainability
from self-driving systems, as well as the challenges that are specific to this
application. …

arxiv autonomous autonomous driving autonomous driving systems challenges cv driving explainability review systems vision