An approach of robust localization for mobile robot working in indoor is proposed in this
paper. A novel method for laser SLAM and visual SLAM fusion is introduced to provide …

In mobile augmented/virtual reality (AR/VR), real-time 6-Degree of Freedom (DoF) motion
tracking is essential for the registration between virtual scenes and the real world. However …

Object-level simultaneous localization and mapping (SLAM) has gained popularity in recent
years since it can provide a means for intelligent robot-to-environment interactions …

Using a camera, a micro aerial vehicle (MAV) can perform visual-based navigation in
periods or circumstances when GPS is not available, or when it is partially available. In this …

Localization is an essential issue for robot navigation, allowing the robot to perform tasks
autonomously. However, in environments with laser scan ambiguity, such as long corridors …

This paper introduces a novel afocal optical flow sensor (OFS) system for odometry
estimation in indoor robotic navigation. The OFS used in computer optical mouse has been …

Estimation of the robot path and mapping of the surrounding environment are some of the
most important tasks for a planetary exploration vehicle. Probabilistic SLAM algorithms fulfill …

The present paper discusses the implementation of the Harris and Stephen corner detector
algorithm optimized for an embedded system-on-a-chip (SOC) platform that integrates a …

State estimation is a fundamental necessity for any application involving autonomous robots.
This paper describes a visual-aided inertial navigation and mapping system for application …

The ability of the robot to make simultaneously map of the environment and localize itself
with respect to that environment is the most important element of mobile robots. To solve …