A single-camera stereo omnidirectional system (SOS) is applied for estimating egomotion in real-world environments.
We present the advantages of a single-camera stereo omnidirectional system (SOS) in estimating egomotion in real-world environments.
We explore low-cost solutions for efficiently improving the 3D pose estimation problem of a single omnidirectional camera moving in an unfamiliar environment.
We present direct multichannel tracking, an algorithm for tracking the pose of a monocular camera (visual odometry) using high-dimensional features in a direct image alignment framework.
A 6-degree-of-freedom (6-DoF) pose localization method for a monocular camera in a 3D point-cloud dense map prebuilt by an RGB-D sensor.