Study level
- PhD
Faculty/School
Faculty of Engineering
Topic status
We're looking for students to study this topic.
Supervisors
- Position
- Senior Lecturer
- Division / Faculty
- Faculty of Engineering
- Position
- Professor
- Division / Faculty
- Faculty of Engineering
Overview
This project will develop a novel localization pipeline based on implicit map representations. Unlike traditional approaches that use explicit representations like point clouds or voxel grids, the map in our project is represented implicitly in the weights of neural networks such as Neural Radiance Fields (NeRF). You will get a chance to develop a new class of localization algorithms that work directly on the implicit representation, bypassing the costly rendering step from implicit to explicit representation. The designed algorithms will address the still difficult problem of accurate large-scale localization under challenging environmental conditions, and in situations where GPS is not reliably available, which is crucial for autonomous and assisted driving.
Contact
Contact the supervisor for more information.