A Machine Learning Method for Vision-Based Unmanned Aerial Vehicle Systems to Understand Unknown Environments

A Machine Learning Method for Vision-Based Unmanned Aerial Vehicle Systems to Understand Unknown Environments

What makes unmanned aerial vehicles (UAVs) intelligent is their capability of sensing and understanding new unknown environments. Some studies utilize computer vision algorithms like Visual Simultaneous Localization and Mapping (VSLAM) and Visual Odometry (VO) to sense the environment for pose estim...

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Bibliographic Details
Main Authors: Tianyao Zhang, Xiaoguang Hu, Jin Xiao, Guofeng Zhang
Format: Article
Language:English
Published: MDPI AG 2020-06-01
Series:Sensors
Subjects:
UAV
visual RGB
real-time
YOLOv3
color detection
object detection
Online Access:https://www.mdpi.com/1424-8220/20/11/3245

Internet

https://www.mdpi.com/1424-8220/20/11/3245

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