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

Xuancen Liu, Shifeng Zhang, Jiayi Tian, Longbin Liu

Abstract read

In one paragraph

Article in Sensors (Basel, Switzerland), 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it

0cells of the map it votes in

2citing papers in PubMed

–field-weighted citation impact

1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

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Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

2 citing papers in PubMed.

A UWB-Based Lighter-Than-Air Indoor Robot for User-Centered Interactive Applications.Sensors (Basel, Switzerland) · 2022
Article
Scheduling of a Parcel Delivery System Consisting of an Aerial Drone Interacting with Public Transportation Vehicles.Sensors (Basel, Switzerland) · 2020
Article

4 · The record

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5 · Who and what money

Authors and funding

4 authors.

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

Shifeng ZhangCollege of Aerospace Science and Engineering, National University of Defense Technology, Chang Sha 410073, China. zhang_shifeng@hotmail.com.

Jiayi TianCollege of Aerospace Science and Engineering, National University of Defense Technology, Chang Sha 410073, China. tianjiayi13@nudt.edu.cn.

Longbin LiuCollege of Aerospace Science and Engineering, National University of Defense Technology, Chang Sha 410073, China. liulongbin@nudt.edu.cn.

Funding

National Natural Science Foundation of China 11802334

6 · The paper itself

Abstract

In this paper, an onboard vision-based system for the autonomous landing of a low-cost quadrotor is presented. A novel landing pad with different optical markers sizes is carefully designed to be robustly recognized at different distances. To provide reliable pose information in a GPS (Global Positioning System)-denied environment, a vision algorithm for real-time landing pad recognition and pose estimation is implemented. The dynamic model of the quadrotor is established and a system scheme for autonomous landing control is presented. A series of autonomous flights have been successfully performed, and a video of the experiment is available online. The efficiency and accuracy of the presented vision-based system is demonstrated by using its position and attitude estimates as control inputs for the autonomous landing of a self-customized quadrotor.

Indexed as

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

Identifiers

PMID31671894

DOI10.3390/s19214703

PMCPMC6874798

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.