Autonomous navigation of agricultural robots and vehicles in agricultural environments is a
prerequisite for the accomplishment of various tasks. However, precision navigation of …

In recent years, unmanned aerial vehicles (UAVs), commonly known as drones, have
gained increasing interest in both academia and industries. The evolution of UAV …

Direct methods for visual odometry (VO) have gained popularity for their capability to exploit
information from all intensity gradients in the image. However, low computational speed as …

This paper presents a visual-inertial odometry framework that tightly fuses inertial
measurements with visual data from one or more cameras, by means of an iterated …

Research on unmanned aerial vehicles (UAV) has been increasingly popular in the past
decades, and UAVs have been widely used in industrial inspection, remote sensing for …

We propose a semi-direct monocular visual odometry algorithm that is precise, robust, and
faster than current state-of-the-art methods. The semi-direct approach eliminates the need of …

Loop closure detection is of vital importance in the process of simultaneous localization and
mapping (SLAM), as it helps to reduce the cumulative error of the robot's estimated pose and …

Extensive research in the field of monocular SLAM for the past fifteen years has yielded
workable systems that found their way into various applications in robotics and augmented …

We present a direct monocular visual odometry system which runs in real-time on a
smartphone. Being a direct method, it tracks and maps on the images themselves instead of …

Monocular visual odometry provides more robust functions on navigation and obstacle
avoidance for mobile robots than other visual odometries, such as binocular visual …