Nowadays, there has been a growing interest in the use of mobile robots for various
applications, where the analysis of the operational environment is a crucial component to …

One of the most main perception challenges for autonomous vehicles is cars detection.
Classic vision-based cars identification approaches are insufficiently accurate, particularly …

At present time there is no sensor that gives a robot the capability to perceive and recognize
the environment in which it is located. This paper presents a system based on machine …

This work presents a vision system based on the YOLO algorithm to identify static objects
that could be obstacles in the path of a mobile robot. In order to identify the objects and its …

This work presents a vision system based on the YOLO algorithm to identify static objects
that could be obstacles in the path of a mobile robot. In order to identify the objects and its …

Autonomous vehicle perception technologies extensively use vision, radar, and lidar
sensors. The detection and classification of objects is the main purpose of vision sensors …

Artificial Intelligence has been introduced in many applications, namely in artificial vision-
based systems with object detection tasks. This paper presents an object localization system …

This article proposes using neural networks to solve the challenge of accurately measuring
the distance of an object using cameras and digital image processing. For this, a neural …

One of the potential implementations of mobile robots in mitigating the risk of communicable
diseases is for delivering items and handling materials with no-human contact. In that …

Vehicle identification and distance estimation are perhaps some of the core problems in the
Advanced Driver Assistance System (ADAS) developments worldwide. The paramount …