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Radio-to-Pose Information for Gauge-Drift Correction in Cooperative Localization

1 reports1 reporting sourcesUpdated 4 days ago

Overview

Event synthesis

This research introduces Radio-to-Pose Information (RPI), an interface that converts radio power residuals into Gaussian information matrices to correct gauge drift in cooperative localization.

Generated from attributed reports · Updated 2 days ago

Event evidence and corrections

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Environment: simulation
Supporting report

“oses and minimize uncertainty. We characterize the shared motions detectable from the map and observed links. For an uncertain shared map, RPI keeps correlations across robots and time and reproduces joint Gaussian pose estimates and covariances. Across $1000$ simulated Gaussian trials, RPI matches the results of joint estimation. Across 32 paired trials with a registered map, RPI reduces common-position RMSE from $0”

Exact source · revision 1

Source owner not reported

Reported quantity · trajectories: 1000 other · trajectory count
Supporting report

“oses and minimize uncertainty. We characterize the shared motions detectable from the map and observed links. For an uncertain shared map, RPI keeps correlations across robots and time and reproduces joint Gaussian pose estimates and covariances. Across $1000$ simulated Gaussian trials, RPI matches the results of joint estimation. Across 32 paired trials with a registered map, RPI reduces common-position RMSE from $0”

Exact source · revision 1

Source owner not reported

Reported quantity · robots: 32 other · reported trials
Supporting report

“oses and minimize uncertainty. We characterize the shared motions detectable from the map and observed links. For an uncertain shared map, RPI keeps correlations across robots and time and reproduces joint Gaussian pose estimates and covariances. Across $1000$ simulated Gaussian trials, RPI matches the results of joint estimation. Across 32 paired trials with a registered map, RPI reduces common-position RMSE from $0”

Exact source · revision 1

Source owner not reported

Reported quantity · arena_dimension: 50 other · Basis not reported
Supporting report

“.542$m to $0.140$m in a $50\times50$m arena compared with a baseline that uses radio only to weight relative measurements.”

Exact source · revision 1

Source owner not reported

Report timeline

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11/6
  1. arXiv Robotics — research abstractsSignal
    Radio-to-Pose Information for Gauge-Drift Correction in Cooperative Localization

    This research introduces Radio-to-Pose Information (RPI), an interface that converts radio power residuals into Gaussian information matrices to correct gauge drift in cooperative localization.

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