Study on Autonomous Obstacle Avoidance Based On Guidance

DJI Guidance is an entirely new visual sensor navigation system, which has a function of real-time transmission of the depth of field images and other data. It is a robust optical sensing platform which significantly promotes the development of unmanned aerial vehicle (hereinafter referred to as UAV...

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Main Authors: Hu Zhizhang, Hu Guangdi, Zhu Xiaoyuan, Lei Zihao, Wan Haipeng
Format: Article
Language:English
Published: EDP Sciences 2017-01-01
Series:MATEC Web of Conferences
Online Access:https://doi.org/10.1051/matecconf/201713900042
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author Hu Zhizhang
Hu Guangdi
Zhu Xiaoyuan
Lei Zihao
Wan Haipeng
author_facet Hu Zhizhang
Hu Guangdi
Zhu Xiaoyuan
Lei Zihao
Wan Haipeng
author_sort Hu Zhizhang
collection DOAJ
description DJI Guidance is an entirely new visual sensor navigation system, which has a function of real-time transmission of the depth of field images and other data. It is a robust optical sensing platform which significantly promotes the development of unmanned aerial vehicle (hereinafter referred to as UAV). On this basis, we have further studied and developed Guidance in application to the field of UAVs to also cut a striking figure, by applying the threshold and binaryzation to the single frame of a static image generated from Guidance. Utilizing OpenCV’s contour detection algorithm, we find all the closed contour information and re-plan the feasible region. Also, we specially re-project the depth information to achieve three-dimensional reconstruction of the image. Then combining the re-planed feasible domain with three-dimensional reconstruction, we can perform real-time obstacle avoidance and mapping. The results demonstrate that our improvement can efficiently complete the obstacle avoidance and real-time mapping in the specific circumstances.
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spelling doaj.art-ec2ab8a6df874513aa2d0c1110a633832022-12-21T22:40:34ZengEDP SciencesMATEC Web of Conferences2261-236X2017-01-011390004210.1051/matecconf/201713900042matecconf_icmite2017_00042Study on Autonomous Obstacle Avoidance Based On GuidanceHu ZhizhangHu GuangdiZhu XiaoyuanLei ZihaoWan HaipengDJI Guidance is an entirely new visual sensor navigation system, which has a function of real-time transmission of the depth of field images and other data. It is a robust optical sensing platform which significantly promotes the development of unmanned aerial vehicle (hereinafter referred to as UAV). On this basis, we have further studied and developed Guidance in application to the field of UAVs to also cut a striking figure, by applying the threshold and binaryzation to the single frame of a static image generated from Guidance. Utilizing OpenCV’s contour detection algorithm, we find all the closed contour information and re-plan the feasible region. Also, we specially re-project the depth information to achieve three-dimensional reconstruction of the image. Then combining the re-planed feasible domain with three-dimensional reconstruction, we can perform real-time obstacle avoidance and mapping. The results demonstrate that our improvement can efficiently complete the obstacle avoidance and real-time mapping in the specific circumstances.https://doi.org/10.1051/matecconf/201713900042
spellingShingle Hu Zhizhang
Hu Guangdi
Zhu Xiaoyuan
Lei Zihao
Wan Haipeng
Study on Autonomous Obstacle Avoidance Based On Guidance
MATEC Web of Conferences
title Study on Autonomous Obstacle Avoidance Based On Guidance
title_full Study on Autonomous Obstacle Avoidance Based On Guidance
title_fullStr Study on Autonomous Obstacle Avoidance Based On Guidance
title_full_unstemmed Study on Autonomous Obstacle Avoidance Based On Guidance
title_short Study on Autonomous Obstacle Avoidance Based On Guidance
title_sort study on autonomous obstacle avoidance based on guidance
url https://doi.org/10.1051/matecconf/201713900042
work_keys_str_mv AT huzhizhang studyonautonomousobstacleavoidancebasedonguidance
AT huguangdi studyonautonomousobstacleavoidancebasedonguidance
AT zhuxiaoyuan studyonautonomousobstacleavoidancebasedonguidance
AT leizihao studyonautonomousobstacleavoidancebasedonguidance
AT wanhaipeng studyonautonomousobstacleavoidancebasedonguidance