Terrain traversability

Study Level

Supervisors

Associate Professor Thierry Peynot	Professor Michael Milford

Overview

Autonomous and non-autonomous vehicles face a wide range of challenges in identifying and safely traversing terrain across a wide range of environments from mine sites to farms to forests to deserts.

We are looking for PhD students interested in developing new techniques for improving terrain traversability detection, using both “traditional” methods as well as modern deep learning-based pipelines.

Apply

Contact supervisors for more information:

Associate Professor Thierry Peynot

Professor Michael Milford