Study level

PhD

Faculty/Lead unit

Science and Engineering Faculty

School of Electrical Engineering and Robotics

Topic status

We're looking for students to study this topic.

Supervisors

Dr Feras Dayoub
Position
Senior Lecturer
Division / Faculty
Science and Engineering Faculty

Overview

When building a map of objects inside a real environment, this map can become quickly outdated as objects are moved around over time.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.

Research activities

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).

Outcomes

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.

Keywords

Contact

Contact the supervisor for more information.