This research paper presents an innovative methodology for the identification and detection
of objects in autonomous driving systems that employ field-programmable gate arrays …

In recent years, the production of municipal solid waste has constantly been increasing.
Recycling is becoming more and more important, as it is the only way that we can have a …

Object detection is a common and challenging problem in today's world. Also due to the
rapid development of deep learning employing underlying deep models over the past ten …

Object detection is one of the most challenging problems in computer vision. Detecting an
object from an image or video finds applications in different fields like security, medical …

The leap forward in research progress in real-time object detection and classification has
been dramatically boosted by including Embedded Artificial Intelligence (EAI) and Deep …

This paper proposes two max-pooling engines, named the RTB-MAXP engine and the CMB-
MAXP engine, with a scalable window size parameter for FPGA-based convolutional neural …

This paper proposes Target detection system design and FPGA implementation based on
YOLOX algorithm, in order to realize offline real-time image detection in a UAV platform with …

Computer vision algorithms implementations, especially for real-time applications, are
present in a variety of devices that we are currently using (from smartphones or automotive …

Nowadays, object detection algorithms have been widely applied in various aspects of life.
However, along with the advancement of these algorithms comes high computational …

Increasing road fatalities year after year is a significant challenge in many countries.
However, real-time driver behaviour modelling in the car-following context for drivers in …