UX design and front-end development for remote operation system

• I am responsible for the design and development of UI/UX for operation of autonomous vehicles.

• Development tools used: Qt , C++ and QML

Design and development of a simulation platform for autonomous driving research

• Responsible for the design and development of simulation software for autonomous driving research. Research scopes include training and verification of algorithms, as well as generating synthetic data for training purposes.

• Closely worked with machine learning researchers, understood their research objectives and provided the simulation solutions.

• Development tools used: Unity (ML-Agents library)

UX research on autonomous driving vehicle

• Responsible for communication with the industry partner, conducting the on-road user study, and performing preliminary data analysis.

• The study measured the drivers' emotional experience in autonomous vehicles through physiological devices and a self-reported survey. The study revealed a gap between the objectively measured user experiences and the subjective ones.

• Part of the result was published at AutoUI 2020 conference.

• Development tools used: Matlab

Designing and developing the HMI for fully or semi-autonomous driving systems, utilizing an AR heads-up display.

• Responsible for the design and development of prototype ADAS applications using AR-HUD, operation of user study, and data analysis followed by the user study. Use cases include navigation and obstacle warning systems.

• Closely worked with university partners, and conducted user study on a simulator and on-road using the research vehicle. The study revealed the insights on the UX on AR-HUD, as well as the gap

Three research papers were published as the results of this project (ISMAR 2018/2019, IV 2019)

• Development tools used: Unity, Unreal Engine (Airsim), Python and Matlab

Developed an in-car interface that notifies incoming obstacles to the driver by showing a graphical icons on a monitor placed in a driver’s peripheral vision. Graphical icons with a several conspicuity levels were designed and evaluated to assess driver's preference. Result shows the preferred conspicuity level depends on the driver's ability to locate the potential hazards in the scene. This work was presented at AutomotiveUI '16 conference (poster).

This internship was at Microsoft Research Asia (MSRA) in Beijing. I continued working on my undergraduate project ("Anamorphicos" project). During this internship, I focused on developing the anamorphose (deformed image projected in a mirror) simulation by making use of ray tracing technology, to extend the work on various mirror shapes. This project was supported by Microsoft 2011 Collaborative Research (CORE) Funding Program. Throughout the internship, I was supervised by Dr. Xiang Cao