Robust and efficient vehicle detection is an important task of environment perception of
intelligent vehicles, which directly affects the behavior decision-making and motion planning …

We propose a computer-aided detection (CAD) method for breast cancer screening using
convolutional neural network (CNN) and follow-up scans. First, mammographic images are …

We present an algorithm for the on-board vision vehicle detection problem using a cascade
of boosted classifiers. Three families of features are compared: the rectangular filters (Haar …

In this document, a vehicle detection system is presented. This system is based on two
algorithms, a descriptor of the image type haar-like, and a classifier type artificial neuron …

Driverless cars and autonomous vehicles have significantly changed the face of
transportation those days. Efficient use of vision system in the recent development of …

Drones are conventionally controlled using joysticks, remote controllers, mobile
applications, and embedded computers. A few significant issues with these approaches are …

This article presents a new method for strawberry detection for use in a strawberry
harvesting robot. The method is based on a histogram of oriented gradients (HOG) …

This paper proposes a novel method for vehicle detection and tracking using a vehicle-
mounted monocular camera. In this method, features of vehicles are learned as a …

The problem of hardware Trojan is certainly serious, complex and tricky. Therefore,
hardware Trojan (HT) detection is difficult, time and effort consuming and challenging due to …

Hand posture recognition is an essential module in applications such as human‐computer
interaction (HCI), games, and sign language systems, in which performance and robustness …