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...
Main Authors: | , , , , |
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Format: | Article |
Language: | English |
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EDP Sciences
2017-01-01
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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. |
first_indexed | 2024-12-16T06:46:02Z |
format | Article |
id | doaj.art-ec2ab8a6df874513aa2d0c1110a63383 |
institution | Directory Open Access Journal |
issn | 2261-236X |
language | English |
last_indexed | 2024-12-16T06:46:02Z |
publishDate | 2017-01-01 |
publisher | EDP Sciences |
record_format | Article |
series | MATEC Web of Conferences |
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 |
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