Liyang Wang

WANG Liyang. Comparative Analysis of Clustering Algorithm and Improved Algorithm Application in Shipping Congestion [C]. The 4th International Conference on Signal Processing and Machine Learning (CONF-SPML 2024), January 15, 2024, Chicago, USA. (First Author)

Summer Online Research Program 2023 - Big Data Computing with Hadoop and Spark

• Learned knowledge of big data systems including Hadoop and Spark
• Completed personal project: Solved the maxima of point set problem using divide-and-conquer methodology

Design and Implementation of Driver Fatigue Detection System Based on Face Recognition Role: Developer and Tester

• Completed literature analysis, requirements analysis, functional module division, system design, unit testing, and system testing
• Implemented fatigue detection through facial feature point extraction
• Addressed challenges of head movement (such as head lowering) that prevented facial feature extraction and low-light conditions at night that hindered face recognition
• Integrated head pose estimation to assist fatigue detection
• Applied local adaptive binarization for image processing to resolve low-light issues during nighttime
• Achieved extremely high detection accuracy after implementing these two methods
• Developed a fatigue driving detection system with high accuracy, robustness, real-time performance, accurate detection in both daytime and nighttime conditions