Visual-inertial simultaneous localization and mapping (VI-SLAM) is popular research topic in
robotics. Because of its advantages in terms of robustness, VI-SLAM enjoys wide …

The semantic SLAM (simultaneous localization and mapping) system is an indispensable
module for autonomous indoor parking. Monocular and binocular visual cameras constitute …

In this article, we survey the recent developments of sensing methods in three-dimensional
robot vision, centering on the current three-dimensional sensors and core techniques …

In recent years, multi-sensor fusion has been paid a great attention and is widely applied to
simultaneous localization and mapping (SLAM), eg Visual-Inertial Odometry (VIO). However …

Accepted: 24 January 2020 During greenhouse operations, robots need a specific working
path to perform highprecision cruises, and thus, we designed a navigation positioning …

For the task of autonomous indoor parking, various Visual-Inertial Simultaneous Localization
And Mapping (SLAM) systems are expected to achieve comparable results with the benefit …

During the process of automated crop picking, the two hand–eye coordination operation
systems, namely “eye to hand” and “eye in hand” have their respective advantages and …

A modern multisensor integrated navigation system applied in most of civilian applications
typically consists of GNSS (Global Navigation Satellite System) receivers, IMUs (Inertial …

As one of the most challenging driving tasks, parking is a common but particularly
troublesome problem in large cities. Recently, an excellent solution-automated valet parking …

In allusion to the complex route characteristics of the irregular shape and the fuzzy feature
for the mobile robot vision navigation in unstructured environment, this paper proposed a …