With the gradual disappearance of the demographic dividend and the labor shortage
brought by the aging population, it is necessary and urgent to achieve a high degree of …

Recent developments in robotics have heightened the need for visual SLAM. Dynamic
objects are a major problem in visual SLAM which reduces the accuracy of localization due …

Simultaneous localization and mapping (SLAM) is a core technology for mobile robots
working in unknown environments. Most existing SLAM techniques can achieve good …

Este artículo presenta técnicas alternativas de localización y mapeo simultáneo del
ambiente, que permiten a los robots móviles auto referenciarse en un ambiente de …

This article concerns the issue of image semantic segmentation for the machine vision
system of an autonomous Unmanned Ground Vehicle (UGV) moving in an off-road …

Aiming at the problem of poor autonomous adaptability of mobile robots to dynamic
environments, this paper propose a YOLACT++ based semantic visual SLAM for …

This study introduces the YORB-SLAM algorithm, a novel approach that integrates an
enhanced ORB-SLAM2 framework with a lightweight YOLOv5 model to improve the …

In practical applications, many robots equipped with embedded devices have limited
computing capabilities. These limitations often hinder the performance of existing dynamic …

Static environment assumptions are a prerequisite for simultaneous localization and
mapping (SLAM), while interference from dynamic objects in the environment can seriously …

Visual Odometry (VO) faces a critical challenge in real-world deployment: striking a balance
between enhancing reliability in dynamic surroundings and reducing computational …