Automated guided vehicles (AGVs) and autonomous mobile robots (AMRs) have been
widely used recently to solve various engineering problems in logistics, manufacturing, and …

Logistics is an important driver for the competitiveness of industries and material supply. The
development of smart logistics, powered by precise positioning and communication …

Scene understanding plays a crucial role in autonomous driving by utilizing sensory data for
contextual information extraction and decision making. Beyond modeling advances, the …

In recent years, Simultaneous Localization and Mapping (SLAM) systems have shown
significant performance, accuracy, and efficiency gain. In this regard, Visual Simultaneous …

The development of light detection and ranging (lidar) technology began in the 1960s,
following the invention of the laser, which represents the central component of this system …

Recently, there has been a rapidly emerging demand for localization technologies to
provide various location-based services in indoor environments, such as smart buildings …

Autonomous driving has gradually become a research hotspot in recent years. Visual
Simultaneous Localization and Mapping (SLAM) technology can help unmanned vehicles …

Path planning is crucial for several applications, including those in industrial facilities,
network traffic, computer games, and agriculture. Enabling automated path-planning …

Simultaneous localization and mapping (SLAM) algorithm has enabled the automation of
mobile robots in unknown environments. It enables the robot to navigate through an …

Conventional sensor-based localization relies on high-precision maps, which are generally
built using specialized mapping techniques involving high labor and computational costs. In …