We aim to build a smart headlight system by realizing pedestrian and head detection, real time object tracking, and light interaction with pedestrians for night driving based on the monocular vision and an LED headlight system. For instance, once a pedestrian is automatically detected at night, our smart headlight system will project the LED headlight onto the pedestrian to highlight him/her. The project has investigated large-scale night driving data on real road scenes using deep learning technology. It will make a big breakthrough in the performance of pedestrian detection at night for autonomous driving systems.
Data Analytics for Smart Manufacturing
To ensure high quality and yield, today’s advanced manufacturing systems are equipped with thousands of sensors to continuously collect measurement data for process monitoring, defect diagnosis and yield learning. In particular, the recent adoption of Industry 4.0 has promoted a set of enabling technologies for low-cost data sensing, processing and storage of manufacturing process. While a large amount of data has been created by the manufacturing industry, statistical algorithms, methodologies and tools are immediately needed to process the complex, heterogeneous and high-dimensional data in order to address the issues posed by process complexity, process variability and capacity constraint. The objective of this project is to explore the enormous opportunities for data analytics in the manufacturing domain and provide data-driven solutions for manufacturing cost reduction.