Closed-form metric velocity and landmark distance determination utilizing monocular camera images and IMU data in the presence of gravity

Research output: Contribution to conferencesPaperContributedpeer-review

Contributors

Abstract

In this paper we present the enhancement of an existing closed-form solution for metric velocity determination utilizing monocular images in combination with accelerometer and gyroscope measurements. While the original version of this algorithm depends on external attitude information for gravity compensation, our solution allows for gravity compensation through the addition of magnetometer measurements. The proposed algorithm results in a linear system of equations which is solvable for accelerated trajectories of an agent carrying the aforementioned sensors. If this condition is met the solution directly provides scaled metric information about the velocity, the distance to landmarks and the direction of gravity in the agent's frame. The authors propose consideration of this algorithm for the initialization of monocular vision navigation filters.

Details

Original languageEnglish
Pages8-13
Number of pages6
Publication statusPublished - 2014
Peer-reviewedYes

Conference

Title2014 IEEE International Conference on Autonomous Robot Systems and Competitions, ICARSC 2014
Duration14 - 15 May 2014
CityEspinho
CountryPortugal