Simultaneous localization and mapping (SLAM) is an active research topic in machine
vision and robotics. It has various applications in many different fields such as mobile robots …

Equality-constrained quadratic programming (QP) has been one of the most basic and
typical problems in the Internet of Things domain. In big data scenarios, how to quickly and …

Since their appearance, Smart Cities have aimed at improving the daily life of people,
helping to make public services smarter and more efficient. Several of these services are …

New products in the automotive and aerospace industries must provide increased energy
efficiency and exceed previous performance, safety and reliability. To meet these …

Pedestrian detection (PD) systems capable of locating pedestrians over large distances and
locating them faster are needed in Pedestrian Collision Prediction (PCP) systems to …

Designing and developing autonomous vehicles that are capable of moving safely on roads
by sensing the environment has motivated researchers to focus on pedestrian detection …

The position of vehicles is determined using an algorithm that includes two stages of
detection and prediction. The more the number of frames in which the detection network is …

Advanced driver assistance systems (ADASs), particularly pedestrian protection systems
(PPSs), have emerged as a hot research topic with the goal of enhancing traffic safety. The …

Optical face detection and recognition system (FDRS) is widely used in modern biometric
security systems. In this paper, we implement a new model of FDRS to identify human faces …

Deep learning methods have exhibited the great capacity to process object detection tasks,
offering a practical and viable approach in many applications. When researchers have …