Deep learning-based intelligent vehicle perception has been developing prominently in
recent years to provide a reliable source for motion planning and decision making in …

Recent deep learning-based object detectors have shown compelling performance for the
detection of large objects in autonomous driving applications. However, the detection of …

Efficient detection and accurate collision estimation for non-cooperative aerial vehicles are
crucial for the realization of fully autonomous aircraft and Advanced Air Mobility (AAM). This …

Recent studies have recently exploited knowledge distillation (KD) technique to address
time-consuming annotation task in semantic segmentation, through which one teacher …

With the advancement of automobile industry, autonomous driving has become an integral
component of contemporary vehicles. In this context, the 3D spatial perception of vehicles …

Facial micro-expression is often used for emotional recognition of people in a high-risk or
pressure scene, which may reflect genuine emotions due to the low intensity of facial action …

Ethical decision-making in complex urban driving scenarios remains a challenge,
particularly when human lives are at risk. This paper presents an ethical decision-making …

With the increasing demand for deep and large-scale excavation pits, the deformation
response during excavation has become exceedingly complex, especially located in …

Social networks have become an essential part of daily life, and hence every real-world
activity finds its place in this virtual world. The present paper proposes a methodology to find …

Unsafe acts at non-signalized intersections have become a primary contributor to traffic
accidents and fatalities. Whereas many studies have focused on non-signalized …