The vision-based simultaneous localization and mapping (SLAM) method is a hot spot in the
robotic research field, and Oriented FAST and Rotated BRIEF (ORB) SLAM algorithm is one …

Depth-map estimation reflects the geometry of the visible surface in the environment directly
and plays an important role in perception and decision for intelligent robots. However …

The present paper describes a vision-based simultaneous localization and mapping system
to be applied to Unmanned Aerial Vehicles (UAVs). The main contribution of this work is to …

This work presents a practical method for estimating the full kinematic state of a vehicle,
along with sensor error parameters, through the integration of inertial and GPS …

Accommodation of a situation when a prior map is not available in an indoor localization
system is valuable to cost-effective operations by removing a need for map drawing and …

For the visual odometry (VO) and simultaneous localization and mapping (SLAM) in indoor
environments, high-level geometric features have attracted more and more attention in …

This paper describes a practical and reliable algorithm for implementing an Attitude and
Heading Reference System (AHRS). This kind of system is essential for real time vehicle …

The global positioning system (GPS) is a crucial component in navigation systems.
Therefore, navigation systems usually malfunction in the outage cases of GPS signals. This …

Visual place recognition plays an increasingly important role in robot navigation,
autonomous flight of unmanned aerial vehicle (UAV), personal navigation, and so on …

Due to the sensors' latency, unsynchronized clocks, triggering, and data jams, there usually
exists an inevitable time offset between image streams and inertial measurement unit (IMU) …