In cooperative, connected, and automated mobility (CCAM), the more automated vehicles
can perceive, model, and analyze the surrounding environment, the more they become …

Abstract Visual Simultaneous Localization and Mapping (VSLAM) technology has become a
key technology in autonomous driving and robot navigation. Relying on camera sensors …

What will the future be? We wonder! In this survey, we explore the gap between current
research in egocentric vision and the ever-anticipated future, where wearable computing …

Targeting the development of smart cities to facilitate the significant analysis of large-scale
urban for construction and update. This research develops a new method named transfer …

This paper explores the emerging knowledge-driven autonomous driving technologies. Our
investigation highlights the limitations of current autonomous driving systems, in particular …

Most of the existing RGB-D simultaneous localization and mapping (SLAM) systems are
based on point features or point-line features or point-plane features. However, the existing …

High-precision positioning of agricultural robots is the key to the automation of greenhouse
agricultural production. We propose a visual positioning method by leveraging the fiducial …

Visual Simultaneous Localization and Mapping (VSLAM) has been a hot topic of research
since the 1990s, first based on traditional computer vision and recognition techniques and …

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 …

Accurate robot localization in dynamic construction environments is vital for successful
robotics implementation on jobsites. Dynamic Simultaneous Localization and Mapping …