# Magnetic navigation study reports lower drift and tracking in poor light

_Published Tuesday, November 3, 2026 at 2:06 AM EST · Robotics, Science · Latest · Tier 2 — Notable_

Researchers report that MISLAM, a system that estimates position and builds a map using inertial and magnetic sensors, reduced total endpoint closure error by 45.7% - 78.0% relative to magnetic-inertial odometry. The preprint evaluates the system offline on three indoor datasets collected with a handheld rig.

MISLAM combines an inertial measurement unit with nine magnetometers, using local magnetic-field models to estimate motion and a global model to correct drift. Under poor illumination, it maintained tracking after visual-inertial odometry failed, with a horizontal closure error of 0.332 m. Vertical drift remains a limitation, and the evaluation used a handheld rig rather than deployed field robots.

## Sources

- [arXiv Query: search_query=cat:cs.RO&id_list=&start=0&max_results=30](https://arxiv.org/abs/2611.03106v1)

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Canonical: https://techandbusiness.org/newswire/TVAW4VXyOS3DR-N3_4C_Tk
Published: 2026-11-03T07:06:11.247Z
Story chronology: 2026-11-02T13:23:39.000Z
Retrieved: 2026-11-03T09:30:28.432Z
Publisher: Tech & Business (techandbusiness.org)