Abstract The Internet of Things (IoT) is the new paradigm of our times, where smart devices
and sensors from across the globe are interconnected in a global grid, and distributed …

The remarkable advancements in Deep Learning (DL) algorithms have fueled enthusiasm
for using Artificial Intelligence (AI) technologies in almost every domain; however, the …

On-road behavior analysis is a crucial and challenging problem in the autonomous driving
vision-based area. Several endeavors have been proposed to deal with different related …

Artificial intelligence and its derivative technologies are not only playing a role in the fields of
medicine, economy, policing, transportation, and natural science computing today but also …

Achieving excellent generalization on perceiving real traffic scenarios with diversity is the
long-term goal for building robust autonomous driving systems. In this paper, we propose to …

From the perspective of artificial intelligence evaluation, the need to discover and explain
the potential shortness of the evaluated intelligent algorithms/systems as well as the need to …

With increasing hardware computing power and model capacity, visual tasks for scene
cognitive understanding have attracted more attention, such as visual relationships …

Per-image performance of a certain visual perception algorithm is the combination of per-
task performances in the image. Based on the black box test, we address to discover and …

In view of the unclear concept and weak basic theory of artificial intelligence, the bottleneck
of basic measurement technology has not been solved. The relationship between AI metrics …

The intelligence evaluation becomes more challenging when involved with multiple entities
executing intelligence tests. The integration of isolated test results may face large …