Visual odometry (VO) is the process of estimating the egomotion of an agent (eg, vehicle,
human, and robot) using only the input of a single or multiple cameras attached to it …

Visual odometry (VO) is the process of estimating the egomotion of an agent (eg, vehicle,
human, and robot) using only the input of a single or multiple cameras attached to it …

The transition of visual-odometry technology from research demonstrators to commercial
applications naturally raises the question:“what is the optimal camera for vision-based …

The agility of a robotic system is ultimately limited by the speed of its processing pipeline.
The use of a Dynamic Vision Sensors (DVS), a sensor producing asynchronous events as …

Part II of the tutorial has summarized the remaining building blocks of the VO pipeline:
specifically, how to detect and match salient and repeatable features across frames and …

Estimating motion from images is a well-studied problem in computer vision and robotics.
Previous work has developed techniques to estimate the motion of a moving camera in a …

This paper describes a visual odometry algorithm for estimating frame-to-frame camera
motion from successive stereo image pairs. The algorithm differs from most visual odometry …

Most approaches to visual odometry estimates the camera motion based on point features,
consequently, their performance deteriorates in low-textured scenes where it is difficult to …

Accurate localization of a vehicle is a fundamental challenge and one of the most important
tasks of mobile robots. For autonomous navigation, motion tracking, and obstacle detection …

A method for calculating visual odometry for ground vehicles with car-like kinematic motion
constraints similar to Ackerman's steering model is presented. By taking advantage of this …