Autonomous vehicles require accurate, and fast decision-making perception systems to
know the driving environment. The 2D object detection is critical in allowing the perception …

The rapid detection of distracted driving behaviors is crucial for enhancing road safety and
preventing traffic accidents. Compared with the traditional methods of distracted-driving …

A perception module is a vital component of a modern robotic system. Vision, radar, thermal,
and LiDAR are the most common choices of sensors for environmental awareness. Relying …

Intelligent transportation systems (ITSs) derive significant advantages from advanced
models like YOLOv8, which excel in predicting traffic incidents in dynamic urban …

With the increasing reliance on small Unmanned Aerial Systems (sUAS) for Emergency
Response Scenarios, such as Search and Rescue, the integration of computer vision …

In recent years, access to digital images has been made easy, and the use and distribution
of images have increased rapidly. Therefore, undesirable adversarial attacks such as FGSM …

Effective accident management acts as a vital part of emergency and traffic control systems.
In such systems, accident data can be collected from different sources (unmanned aerial …

Pedestrian detection has always been a difficult and hot spot in computer vision research. At
the same time, pedestrian detection technology plays an important role in many …

In recent years, with the increasing demand for high-quality Dendrobii caulis decoction
piece, the identification of D. caulis decoction piece species has become an urgent issue …

Industrial delta robots with motion-and vision-base controllers, providing high-precision and
fast/flexible motion, normally come with high cost and complex software. Low-cost delta …