Visual SLAM (VSLAM) has been developing rapidly due to its advantages of low-cost
sensors, the easy fusion of other sensors, and richer environmental information. Traditional …

Visual place recognition has attracted widespread research interest in multiple fields such
as computer vision and robotics. Recently, researchers have employed advanced deep …

Human visual scene understanding is so remarkable that we are able to recognize a
revisited place when entering it from the opposite direction it was first visited, even in the …

Purpose Visual simultaneous localization and mapping (SLAM) has limitations such as
sensitivity to lighting changes and lower measurement accuracy. The effective fusion of …

Human drivers are capable of recognizing places from a previous journey even when
viewing them from the opposite direction during the return trip under radically different …

Abstract The problem of Simultaneous Localization and Mapping (SLAM) suffers from drift in
long run odometry and the only way to correct that is by graph optimization based on loop …

In the long-term deployment of mobile robots, changing appearance brings challenges for
localization. When a robot travels to the same place or restarts from an existing map, global …

Simultaneous Localization And Mapping (SLAM) is very important task for mobile robotics.
For a robot in motion, it is always required to know its location and the surroundings.“ …