RoNIN: Robust Neural Inertial Navigation in the Wild: Benchmark, Evaluations, & New Methods | IEEE Conference Publication | IEEE Xplore

RoNIN: Robust Neural Inertial Navigation in the Wild: Benchmark, Evaluations, & New Methods


Abstract:

This paper sets a new foundation for data-driven inertial navigation research, where the task is the estimation of horizontal positions and heading direction of a moving ...Show More

Abstract:

This paper sets a new foundation for data-driven inertial navigation research, where the task is the estimation of horizontal positions and heading direction of a moving subject from a sequence of IMU sensor measurements from a phone. In contrast to existing methods, our method can handle varying phone orientations and placements.More concretely, the paper presents 1) a new benchmark containing more than 40 hours of IMU sensor data from 100 human subjects with ground-truth 3D trajectories under natural human motions; 2) novel neural inertial navigation architectures, making significant improvements for challenging motion cases; and 3) qualitative and quantitative evaluations of the competing methods over three inertial navigation benchmarks. We share the code and data to promote further research. (http://ronin.cs.sfu.ca).
Date of Conference: 31 May 2020 - 31 August 2020
Date Added to IEEE Xplore: 15 September 2020
ISBN Information:

ISSN Information:

Conference Location: Paris, France

Contact IEEE to Subscribe

References

References is not available for this document.