Abstract
The paper considers the possible use of computer vision systems for INS aiding. Two methods of navigation data obtaining from the image sequence are analyzed. The first method uses the features of architectural elements in indoor and urban conditions for generation of object attitude parameters. The second method is based on extraction of general features in the image and is more widely applied. Besides the orientation parameters, the second method estimates the object displacement, and thus can be used as visual odometry technique. The described algorithms can be used to develop small-sized MEMS navigation systems efficiently operating in urban conditions.
| Original language | English |
|---|---|
| Title of host publication | 23rd Saint Petersburg International Conference on Integrated Navigation Systems, ICINS 2016 - Proceedings |
| Publisher | State Research Center of the Russian Federation |
| Pages | 560-562 |
| Number of pages | 3 |
| ISBN (Electronic) | 9785919950370 |
| Publication status | Published - 2016 |
| Publication type | A4 Article in conference proceedings |
| Event | SAINT PETERSBURG INTERNATIONAL CONFERENCE ON INTEGRATED NAVIGATION SYSTEMS - Duration: 1 Jan 1900 → … |
Conference
| Conference | SAINT PETERSBURG INTERNATIONAL CONFERENCE ON INTEGRATED NAVIGATION SYSTEMS |
|---|---|
| Period | 1/01/00 → … |
Keywords
- Camera
- Computer vision
- Data fusion
- Image processing
- Inertial system
- Orientation
Publication forum classification
- Publication forum level 0
ASJC Scopus subject areas
- Computer Networks and Communications
- Signal Processing
- Electrical and Electronic Engineering
- Information Systems