Left: Building mapping and lighting audit result. Right: Sensor Configuration. Left: Building mapping and lighting audit result. Right: Sensor Configuration.

Autonomous Lighting Audits

We developed a robot that automatically finds lights in a building using a camera and identifies their types using a spectrometer. The robot localizes itself and creates a map of the building through Simultaneous Localization and Mapping (SLAM) using a distance sensor. Developed wih C++ using OpenCV on the ROS platform. [Video] [Demo] [Report] [Poster].

Team Composition

Methodology

Reflection

This was an important experience for me, as it was in this team that I met someone who was really passionate in doing research. He would ultimately influence my passion to do research.

Qian Lab
Qian Lab
Research Lab

My research interests include

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