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.
We present an on-board navigation system for Micro Aerial Vehicles (MAV) based on information provided by a visual odometry algorithm processing data from an RGB-D camera.
We present a real-time technique for 6-DoF camera pose estimation through the incremental registration of RGB-D images.