Fast obstacle detection for UAV using vision
Based on an practical results and intensive review of the currently available algorithm provided by the latest version of OpenCV library, this report concludes that stereo matching with semi-global block matching algorithm (sgbm) produces the most efficient result. Analysis on four mode of stereo ma...
Saved in:
| Main Author: | |
|---|---|
| Other Authors: | |
| Format: | Final Year Project |
| Language: | English |
| Published: |
2017
|
| Subjects: | |
| Online Access: | http://hdl.handle.net/10356/71942 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| Institution: | Nanyang Technological University |
| Language: | English |
| id |
sg-ntu-dr.10356-71942 |
|---|---|
| record_format |
dspace |
| spelling |
sg-ntu-dr.10356-719422023-07-07T16:49:08Z Fast obstacle detection for UAV using vision Ye, Naing Oo Wang Han School of Electrical and Electronic Engineering DRNTU::Engineering::Electrical and electronic engineering Based on an practical results and intensive review of the currently available algorithm provided by the latest version of OpenCV library, this report concludes that stereo matching with semi-global block matching algorithm (sgbm) produces the most efficient result. Analysis on four mode of stereo matching with OpenCV on C++ platform was made. The result are compared base on the matching speed and quality. Bachelor of Engineering 2017-05-23T04:44:59Z 2017-05-23T04:44:59Z 2017 Final Year Project (FYP) http://hdl.handle.net/10356/71942 en Nanyang Technological University 43 p. application/pdf |
| institution |
Nanyang Technological University |
| building |
NTU Library |
| continent |
Asia |
| country |
Singapore Singapore |
| content_provider |
NTU Library |
| collection |
DR-NTU |
| language |
English |
| topic |
DRNTU::Engineering::Electrical and electronic engineering |
| spellingShingle |
DRNTU::Engineering::Electrical and electronic engineering Ye, Naing Oo Fast obstacle detection for UAV using vision |
| description |
Based on an practical results and intensive review of the currently available algorithm provided by the latest version of OpenCV library, this report concludes that stereo matching with semi-global block matching algorithm (sgbm) produces the most efficient result. Analysis on four mode of stereo matching with OpenCV on C++ platform was made. The result are compared base on the matching speed and quality. |
| author2 |
Wang Han |
| author_facet |
Wang Han Ye, Naing Oo |
| format |
Final Year Project |
| author |
Ye, Naing Oo |
| author_sort |
Ye, Naing Oo |
| title |
Fast obstacle detection for UAV using vision |
| title_short |
Fast obstacle detection for UAV using vision |
| title_full |
Fast obstacle detection for UAV using vision |
| title_fullStr |
Fast obstacle detection for UAV using vision |
| title_full_unstemmed |
Fast obstacle detection for UAV using vision |
| title_sort |
fast obstacle detection for uav using vision |
| publishDate |
2017 |
| url |
http://hdl.handle.net/10356/71942 |
| _version_ |
1772827238933200896 |