Terrain elevation estimator for UAVs from optical flow | |
| Author | Tran Hoang Minh |
| Call Number | AIT Caps. Proj. no.ICT-18-04 |
| Subject(s) | Drone aircraft Optical images |
| Note | A capstone project report submitted in partial fulfillment of the requirements for the degree of Bachelor of Science in Engineering Information and Communication Technology, School of Engineering and Technology |
| Publisher | Asian Institute of Technology |
| Series Statement | Caps. Proj. ; no. ICT-18-04 |
| Abstract | The multicopter is well-known as an imaging platform. Estimating the height of tall objects is risky for humans. One way to estimate the height of tall objects would be to use a multicopter flying above the tall objects with a camera to record video. Compared to using a clinometer to measure the angle from the ground and calculate the height, the benefit will be safety for humans and less estimation error. In this report, I show that combining GPS, video and optical flow, it is possible to estimate terrain elevation (in particular the elevation of tree-tops) accurately. |
| Year | 2018 |
| Corresponding Series Added Entry | Asian Institute of Technology. Caps. Proj. ; no. ICT-18-04 |
| Type | Capstone Project |
| School | School of Engineering and Technology (SET) |
| Department | Other Field of Studies (No Department) |
| Academic Program/FoS | Information and Communication Technology (ICT) |
| Chairperson(s) | Dailey, Matthew |
| Examination Committee(s) | Mongkol Ekpanyapong |
| Degree | Capstone Project (B.Sc.)-Asian Institute of Technology, 2018 |