The continuous advancement of Artificial Intelligence (AI) has been revolutionizing the
strategy of decision-making in different life domains. Regardless of this achievement, AI …

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 …

The automotive industry has witnessed an increasing level of development in the past
decades; from manufacturing manually operated vehicles to manufacturing vehicles with a …

When video collections become huge, how to explore both within and across videos
efficiently is challenging. Video summarization is one of the ways to tackle this issue …

In this work, we propose an AI-based method that intends to improve the conventional retinal
disease treatment procedure and help ophthalmologists increase diagnosis efficiency and …

Traffic accident anticipation is a vital function of Automated Driving Systems (ADS) in
providing a safety-guaranteed driving experience. An accident anticipation model aims to …

In this era of active development of autonomous vehicles, it becomes crucial to provide
driving systems with the capacity to explain their decisions. In this work, we focus on …

Stability and security issues in energy management have become widespread research
topics, in which artificial intelligence techniques are often embedded in management …

Visual reasoning is a special kind of visual question answering, which is essentially multi-
step and compositional, and also requires intensive text-visual interaction. The most …

Autonomous vehicle (AV) is expected to reshape the future transportation system, and its
decision-making is one of the most critical modules. Many current decision-making modules …