This article presents a survey of simultaneous localization and mapping (SLAM) and data
fusion techniques for object detection and environmental scene perception in unmanned …

This survey paper presents a holistic perspective on the state-of-the-art in the design of
guidance, navigation, and control systems for autonomous multi-rotor small unmanned …

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

In multi-robot systems, two important research problems are relative localization between
the robots and global localization of all robots in a common frame. Traditional methods rely …

In the face of large-scale environmental mapping requirements, through the use of
lightweight and inexpensive robot groups to perceive the environment, the multi-robot …

Mutual localization provides a consensus of reference frame as an essential basis for
cooperation in multi-robot systems. Previous works have developed certifiable and robust …

Mutual localization is essential for coordination and cooperation in multi-robot systems.
Previous works have tackled this problem by assuming available correspondences between …

A novel relative localization approach for cooperative guidance of a micro-scale Unmanned
Aerial Vehicle (UAV) fusing Visual-Inertial Odometry (VIO) with Light Detection and Ranging …

In recent years, there has been a strong demand for self-driving cars. For safe navigation,
self-driving cars need both precise localization and robust mapping. While global navigation …

Visual odometer is an important part of SLAM system. Visual odometer based on feature
points is the current mainstream. Featured based method completes the positioning by …