Monocular Vision-Based Obstacle Detection and Avoidance for a Multicopter

Monocular Vision-Based Obstacle Detection and Avoidance for a Multicopter

This article presents a monocular vision-based algorithm for detecting obstacles and identifying obstacle-aware regions, developed to be used for collision avoidance by a multicopter. The first step of our algorithm is to predict a disparity image from a single-view image via implementing a deep enc...

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Bibliographic Details
Main Author: Hsiang-Chieh Chen
Format: Article
Language:English
Published: IEEE 2019-01-01
Series:IEEE Access
Subjects:
Collision avoidance
machine learning
monocular depth estimation
multicopter
obstacle detection
robot vision systems
Online Access:https://ieeexplore.ieee.org/document/8903271/

Internet

https://ieeexplore.ieee.org/document/8903271/

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