Visual SLAM (VSLAM) has been developing rapidly due to its advantages of low-cost
sensors, the easy fusion of other sensors, and richer environmental information. Traditional …

Simultaneous localization and mapping (SLAM) technology is essential for robots to
navigate unfamiliar environments. It utilizes the sensors the robot carries to answer the …

Object SLAM is considered increasingly significant for robot high-level perception and
decision-making. Existing studies fall short in terms of data association, object …

Abstract 3D semantic scene graphs are a powerful holistic representation as they describe
the individual objects and depict the relation between them. They are compact high-level …

Visual Simultaneous Localization and Mapping (VSLAM), which serves as the primary
technique for locating autonomous vehicles, has gained tremendous development over the …

In this work, we explore the use of objects in Simultaneous Localization and Mapping in
unseen worlds and propose an object-aided system (OA-SLAM). More precisely, we show …

Abstract Recently, three-dimensional (3D) detection based on stereo images has
progressed remarkably; however, most advanced methods adopt anchor-based two …

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

Robust loop-closure detection is essential for visual SLAM. Traditional methods often focus
on the geometric and visual features in most scenes but ignore the semantic information …

Object-oriented SLAM is a popular technology in autonomous driving and robotics. In this
letter, we propose a stereo visual SLAM with a robust quadric landmark representation …