When building a map of objects inside a real environment, this map can become quickly outdated as objects are moved around over time. This is especially true when the map is on the scale of a house, warehouse or a city.
This PhD project investigates new methods for keeping a high-resolution semantic map up-to-date using partial, and possibly low-resolution, snapshots. These environment snapshots can be captured by sensors mounted on moving agents, such as vehicles and mobile robots.
This PhD project investigates new methods for keeping a high-resolution semantic map up-to-date using partial, and possibly low-resolution snapshots, of the environment captured by sensors mounted on moving agents (e.g. vehicles, mobile robots, personal).
Upon completion of this research project, we expect to have investigated these proposed methods.
Skills and experience
To be considered for this research project, you should demonstrate skills and/or experience with:
- machine learning
- computer vision.
Contact the supervisor for more information.