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Monocular camera and laser based semantic mapping system with temporal-spatial data association for indoor mobile

Xu Song1, Zuo Zhijiang1, Xuan Liang1

  • 1School of Smart Manufacturing, Jianghan University, Wuhan, 430056 China.

Multimedia Tools and Applications
|June 26, 2023
PubMed
Summary

This study introduces a unified semantic mapping system for indoor robots, enhancing human-robot interaction. The system accurately maps indoor environments by fusing camera and laser data, improving robot perception and task performance.

Keywords:
Human-robot interactionSemantic mappingTemporal-spatial correlation

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Area of Science:

  • Robotics
  • Artificial Intelligence
  • Computer Vision

Background:

  • Service robots require human-centric indoor navigation and interaction.
  • Understanding environments from a human perspective is crucial for robot task performance.
  • Semantic maps integrate geometric and qualitative features for comprehensive environmental understanding.

Purpose of the Study:

  • To propose a unified semantic mapping system for indoor mobile robots.
  • To enable robots to perceive and understand indoor environments for enhanced human-robot interaction.
  • To improve the accuracy and robustness of semantic mapping.

Main Methods:

  • Utilizing scene classification and object detection techniques.
  • Fusing data from cameras and lasers to create semantic representations.
  • Leveraging temporal-spatial correlation of semantics for data association in semantic maps.

Main Results:

  • The proposed system demonstrates robust and accurate semantic mapping.
  • Experimental results validate the system's performance in diverse indoor environments.
  • The system is scalable and portable for various indoor scenarios.

Conclusions:

  • The unified semantic mapping system effectively enhances robot environmental perception.
  • The system bridges the gap in human-robot interaction by providing human-like environmental understanding.
  • This approach advances the development of intelligent service robots for indoor applications.