, AMCL ,使

Paloma de la Puente1, Germán Vega-Martínez1, Patricia Javierre1

  • 1Centre for Automation and Robotics (UPM-CSIC), Universidad Politécnica de Madrid, Madrid, Spain.

Frontiers in robotics and AI
|September 22, 2025
PubMed
概括

这项研究通过将视觉矩形检测集成到自适应式蒙特卡洛定位 (AMCL) 算法中,提高了移动机器人在走廊等具有挑战性的环境中的定位. 混合方法通过使用视觉特征来提高导航准确性和稳定性.

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