Simultaneous localization and mapping (SLAM) techniques are widely researched, since
they allow the simultaneous creation of a map and the sensors' pose estimation in an …

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 …

Visual Simultaneous Localization and Mapping (VSLAM) has attracted considerable
attention in recent years. This task involves using visual sensors to localize a robot while …

After decades of development, LIDAR and visual SLAM technology has relatively matured
and been widely used in the military and civil fields. SLAM technology enables the mobile …

To accurately detect dynamic objects in dynamic scenes (DSs), a detection framework
equipped with visual-based measurement methods has been proposed in this article. First …

Simultaneous localization and mapping (SLAM), a core technology of mobile robots and
autonomous driving, has received more and more attention in recent years. However, most …

The assumption of a static environment is typical in many visual simultaneous localization
and mapping (VSLAM) systems. However dynamic objects in open scenes will mislead …

Due to the limitations of LiDAR, such as its high cost, short service life and massive volume,
visual sensors with their lightweight and low cost are attracting more and more attention and …

Static environment is a prerequisite for most existing vision-based SLAM (simultaneous
localization and mapping) systems to work properly, which greatly limits the use of SLAM in …

Simultaneous Localization and Mapping (SLAM) plays an irreplaceable role in the field of
artificial intelligence. The traditional visual SLAM algorithm is stable assuming a static …