The recent advancements in Information and Communication Technology (ICT) as well as
increasing demand for vehicular safety has led to significant progressions in Autonomous …

Most of the state-of-the-art visual simultaneous localization and mapping (V-SLAM)
algorithms perform well in structured environments. However, the assumption of a static …

In recent years, dynamic visual SLAM techniques have been widely used in autonomous
navigation, augmented reality, and virtual reality. However, the increasing demand for …

The vision-based simultaneous localization and mapping (SLAM) method is a hot spot in the
robotic research field, and Oriented FAST and Rotated BRIEF (ORB) SLAM algorithm is one …

To solve the autonomous navigation problem in complex environments, an efficient motion
planning approach is newly presented in this paper. Considering the challenges from large …

Now, most existing dynamic RGB-D SLAM methods are based on deep learning or
mathematical models. Abundant training sample data is necessary for deep learning, and …

RGB-D SLAM (Simultaneous Localization and Mapping) generally performs smoothly in a
static environment. However, in dynamic scenes, dynamic features often cause wrong data …

Environment mapping is an essential prerequisite for mobile robots to perform different tasks
such as navigation and mission planning. With the availability of low-cost 2-D LiDARs, there …

Abstract Simultaneous Localization and Mapping is one of the hotspots in the field of mobile
intelligent robot research. Over the past decades, many excellent SLAM systems with good …

Indoor localization with high accuracy and efficiency has attracted much attention. Due to
visible light communication (VLC), the LED lights in buildings, once modulated, hold great …