As the need for autonomous reconnaissance and surveillance missions in cluttered urban
environments has been increasing, this paper describes a cooperative path planning …

Due to the need for accurate navigation in minimally invasive surgery, many methods have
been introduced to the operating room for tracking the position and orientation of …

This paper focuses on the integration of inertial measurement unit (IMU) with two real-time
kinematic global positioning system (GPS) units in an adaptive Kalman filter (KF) for driftless …

In this paper, a motion estimation approach is introduced for a vision-aided inertial
navigation system. The system consists of a ground-facing monocular camera mounted on …

Surgical planning and navigation systems are vital for minimally invasive endoscopic
surgeries but it is challenging to track the position and orientation of intrabody surgical …

Vision and odometry/attitude and heading reference system (AHRS, three-axial gyroscopes,
accelerometers, and magnetometers) sensors fusion strategy is prevalent in the recent years …

This paper presents a Kalman filter (KF)-integrated optical flow method to measure the
velocity of mobile robots using a downward-looking camera. Tests conducted earlier by the …

In this article, we propose a system that can fuse inertial measurement unit (IMU), light
detection and ranging (LiDAR), and intermittent global positioning system (GPS) …

For situations where accurate attitude information is needed while the position is not readily
available or not necessarily required, such as the attitude heading reference system, this …

In this paper, the position of an autonomous underwater vehicle (AUV) has been estimated
by fusion of the data of two sensors: Doppler velocity log (DVL) and inertial navigation …