When: Tues 26th of May, 2p
Where: This seminar will be presented online, RSVP here.
Speaker: Wei Zhou
Title: Analysing the Robustness of Semantic Segmentation for Autonomous Vehicles
Abstract: Intelligent systems require the capability to perceive and interact with the surrounding environment. Semantic segmentation, as a pixel-level classification task, is at the frontier of providing a human-like understanding to intelligent systems enabling them to view and understand the world as we do. Deep learning based semantic segmentation algorithms have shown considerable success for certain tasks in recent years. However, in real-world safety critical applications such as autonomous vehicles, there are still many complexities that restrict the use of this technology. My research has been focusing on analysing the generalisation and the robustness of semantic segmentation for intelligent vehicles. A system validation pipeline has been proposed to tackle the challenges of evaluating and quantifying the performance of semantic segmentation before deploying to intelligent platforms. This method can be used in most urban traffic scenarios without the time and expense of using humans to generate labels by hand.
Bio: Wei graduated with Bachelor of Engineering Degrees from the Beijing Institute of Technology and the Australian National University in 2013 and submitted her PhD thesis in March 2020 at ACFR.