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Bibliographic Details
Main Authors: Carlotti, Nicholas, Nava, Mirko, Giusti, Alessandro
Format: Preprint
Published: 2024
Subjects:
Online Access:https://arxiv.org/abs/2410.04536
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Table of Contents:
  • We propose a self-supervised approach for visual robot detection and heading estimation by learning to estimate the states (OFF or ON) of four independent robot-mounted LEDs. Experimental results show a median image-space position error of 14 px and relative heading MAE of 17 degrees, versus a supervised upperbound scoring 10 px and 8 degrees, respectively.