Thesis - Making simple drones better using cameras
Automatic Control, Image Analysis, Computer Science, Probability theory
2 students completing 30 credits (20 weeks) each.
Automatic 3D mapping of environments using mobile robots are done both in city environments for navigation, as well as inside for automatic retail store inventorying, etc. A drone (e.g. a quadcopter) is often used to create the maps using simultaneous localization and mapping (SLAM). This is frequently used in research projects, however in commercial applications it is still not very common due to the limited battery life of a drone, the danger of using heavy drones in crowded areas, etc. For Axis it is of interest to investigate how fixed cameras (surveillance cameras on the streets, in a store, etc.) can be used to improve the professional use of drones.
Moving complexity from the drone itself to its stationary environment; perhaps we can get the same (or better) quality of the maps with less power consumption and less weight (due to simpler hardware or less onboard processing demand) and thereby longer flight times.
The thesis could focus on one of these two topics:
Better localization feedback from fixed cameras using model knowledge
Stationary cameras can be used to estimate the pose of the drone as relative coordinates to the camera or as world coordinates given that the camera pose is known. Detections in the camera view are relatively noise with bad time resolution. Given a mathematical model of the drone (estimated using system identification) we can improve the detection accuracy and estimate intermediate states between camera frames.
Complement SLAM algorithm with fixed cameras views
If the poses and intrinsics (position, rotation, lens distortion, etc.) of the fixed cameras are not known they are hard to use for 3D-mapping. However by combining these fixed views with the views of a mobile robot we could (1) detect the pose of the fixed cameras in a relative coordinate system and (2) use the views of the fixed cameras to improve the SLAM algorithm in the mobile platform.
OK, I am interested! What do I do now?
You are valuable to us – how nice that you are interested in one of our proposals! There are a few things for you to keep in mind when applying.
- Applications are accepted in both Swedish and English, and you apply via the proposal advert.
- The announced theses are open only to students affiliated with a Swedish university/college either directly or via an exchange program.
- When the thesis proposal states that it includes two students working together, we would like you to apply in pairs. In these cases, send one application each but make sure to clearly state in your application who your co-applicant is. If you have any questions regarding this, please do not hesitate to contact us.
- Please attach your CV and University/college grade summary.
For more information or questions please contact Daniel Falk at +46 46 272 3907 or firstname.lastname@example.org.
About Axis Communications
Axis enables a smarter and safer world by creating network solutions that provide insights for improving security and new ways of doing business. As the industry leader in network video, Axis offers products and services for video surveillance and analytics, access control, and audio systems. Axis has more than 3,000 dedicated employees in over 50 countries and collaborates with partners worldwide to deliver customer solutions.
For more information about Axis, please visit our website www.axis.com .
Sweden - Lund
Telephone: +46 46 272 3907