When considering how an intelligent factory can 'see,'the answer lies in machine vision
technology. To assess the current technological advancements of machine vision systems …

Where am I? This is one of the most critical questions that any intelligent system should
answer to decide whether it navigates to a previously visited area. This problem has long …

As the field of deep learning experiences a meteoric rise, the urgency to decipher the
complex geometric properties of feature spaces, which underlie the effectiveness of diverse …

One's internal state is mainly communicated through nonverbal cues, such as facial
expressions, gestures and tone of voice, which in turn shape the corresponding emotional …

A key feature in the context of simultaneous localization and mapping is loop-closure
detection, a process determining whether the current robot's environment perception …

The challenging market of automotive industry urges the manufacturers worldwide to benefit
from the incredible technological advancements of the fourth industrial revolution (Industry …

Effective damage identification is paramount to evaluating safety conditions and preventing
catastrophic failures of concrete structures. Although various methods have been introduced …

It is well known that vision classification models suffer from poor calibration in the face of
data distribution shifts. In this paper, we take a geometric approach to this problem. We …

Lake extraction from remote sensing images is an important approach to monitoring water
resources. It provides guidance for aiding in maintaining natural ecological balance through …

Estimating a scene's depth to achieve collision avoidance against moving pedestrians is a
crucial and fundamental problem in the robotic field. This paper proposes a novel, low …