Applications of intelligent transportation systems are continuously increasing. Since
positioning is a key component in these systems, it is essential to ensure its reliability and …

For many applications in Urban Search and Rescue (USAR) scenarios robots need to learn
a map of unknown environments. We present a system for fast online learning of occupancy …

This paper takes advantage of the complementary characteristics of Global Positioning
System (GPS) and Light Detection and Ranging (LiDAR) to provide periodic corrections to …

A Global Navigation Satellite System (GNSS)/Inertial Navigation System (INS)/Light
Detection and Ranging (LiDAR)-Simultaneous Localization and Map** (SLAM) integrated …

In this paper, we proposed a multi-sensor integrated navigation system composed of GNSS
(global navigation satellite system), IMU (inertial measurement unit), odometer (ODO), and …

Simultaneous localization and map** via LiDAR-Inertial fusion is a crucial technology in
many automation-related applications. Recently, a number of approaches based on …

The underwater domain is a challenging environment for robotics because widely used
electromagnetic devices must be substituted by acoustic equivalents, much slower and …

The goal of this study is to generate high-resolution sea floor maps using a Side-Scan Sonar
(SSS). This is achieved by explicitly taking into account the SSS operation as follows. First …

Simultaneous localization and map** (SLAM) is a critical technology in the field of
robotics. Over the past decades, numerous SLAM algorithms based on 2D LiDAR have …

In this paper, a new algorithm, called cluster matching, is introduced for multi-robot
localization and orientation. This algorithm deals with the case in which each robot has the …