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An Onboard Vision-Based System for Autonomous Landing of a Low-Cost Quadrotor on a Novel Landing Pad

Xuancen Liu1, Shifeng Zhang2, Jiayi Tian3

  • 1College of Aerospace Science and Engineering, National University of Defense Technology, Chang Sha 410073, China. liuxuancen14@nudt.edu.cn.

Sensors (Basel, Switzerland)
|November 2, 2019
PubMed

Keywords:
autonomous landinglow-cost sensorsmicro aerial vehicle (MAV)monocular cameraonboard vision

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