Vision-based range estimation from a mobile robot to a target plane
Compute vision is seen as the most accurate and fastest way of doing indoor navigation. However, there must be a marker or target for the camera to trace. The marker must be in visible range so that the camera can see. If the marker is put far enough or there are some obstacles in between, computer...
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| Other Authors: | |
| Format: | Final Year Project (FYP) |
| Language: | English |
| Published: |
2015
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| Online Access: | http://hdl.handle.net/10356/65786 |
| _version_ | 1826122458863763456 |
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| author | Yang, Xiaofeng |
| author2 | Wang Jianliang |
| author_facet | Wang Jianliang Yang, Xiaofeng |
| author_sort | Yang, Xiaofeng |
| collection | NTU |
| description | Compute vision is seen as the most accurate and fastest way of doing indoor navigation. However, there must be a marker or target for the camera to trace. The marker must be in visible range so that the camera can see. If the marker is put far enough or there are some obstacles in between, computer vision will be useless. This paper focus on WIFI positioning to overcome this disadvantage of computer vision. This dissertation is divided into two parts. The first part is WIFI positioning in long range. WIFI positioning uses the most popular and accurate finger-print method. Euclidean distance is used to evaluate the similarity and find the nearest neighbor. The second part is about short range computer vision navigation. Computer vision technique is used to make the robot be able to detect and trace the marker. OpenCV and PID controller are two major factors in this part |
| first_indexed | 2024-10-01T05:48:31Z |
| format | Final Year Project (FYP) |
| id | ntu-10356/65786 |
| institution | Nanyang Technological University |
| language | English |
| last_indexed | 2024-10-01T05:48:31Z |
| publishDate | 2015 |
| record_format | dspace |
| spelling | ntu-10356/657862023-07-07T17:54:37Z Vision-based range estimation from a mobile robot to a target plane Yang, Xiaofeng Wang Jianliang School of Electrical and Electronic Engineering DRNTU::Engineering::Electrical and electronic engineering::Control and instrumentation::Control engineering Compute vision is seen as the most accurate and fastest way of doing indoor navigation. However, there must be a marker or target for the camera to trace. The marker must be in visible range so that the camera can see. If the marker is put far enough or there are some obstacles in between, computer vision will be useless. This paper focus on WIFI positioning to overcome this disadvantage of computer vision. This dissertation is divided into two parts. The first part is WIFI positioning in long range. WIFI positioning uses the most popular and accurate finger-print method. Euclidean distance is used to evaluate the similarity and find the nearest neighbor. The second part is about short range computer vision navigation. Computer vision technique is used to make the robot be able to detect and trace the marker. OpenCV and PID controller are two major factors in this part Bachelor of Engineering 2015-12-15T02:06:01Z 2015-12-15T02:06:01Z 2015 2015 Final Year Project (FYP) http://hdl.handle.net/10356/65786 en Nanyang Technological University 54 p. application/pdf |
| spellingShingle | DRNTU::Engineering::Electrical and electronic engineering::Control and instrumentation::Control engineering Yang, Xiaofeng Vision-based range estimation from a mobile robot to a target plane |
| title | Vision-based range estimation from a mobile robot to a target plane |
| title_full | Vision-based range estimation from a mobile robot to a target plane |
| title_fullStr | Vision-based range estimation from a mobile robot to a target plane |
| title_full_unstemmed | Vision-based range estimation from a mobile robot to a target plane |
| title_short | Vision-based range estimation from a mobile robot to a target plane |
| title_sort | vision based range estimation from a mobile robot to a target plane |
| topic | DRNTU::Engineering::Electrical and electronic engineering::Control and instrumentation::Control engineering |
| url | http://hdl.handle.net/10356/65786 |
| work_keys_str_mv | AT yangxiaofeng visionbasedrangeestimationfromamobilerobottoatargetplane |