ZHANG Kaiyan

About Me

I am currently pursuing my Master’s degree in AI at The University of Hong Kong (HKU). Previously, I earned my Bachelor’s degree in Electrical Engineering and Automation from the Harbin Institute of Technology (HIT).

Before that, I worked as an autonomous driving perception algorithm engineer for two years at BYD Auto Industry Co., Ltd., in Shenzhen, China. My role involved developing advanced perception algorithms for ADAS, which included 3D occupancy prediction, multi-sensor fusion, and parking space detection, as well as managing significant data annotation projects. Click here to view my detailed work experience.

I am interested in autonomous driving and vision language model.

Publications

Papers

• A Survy of Semantic Matching (In Progress)
• Zhang K, Feng, X. A Vehicle Classification Method Based on Deep Learning and Data Augmentation. In International Conference on Optics and Machine Vision (ICOMV 2023), Proc. SPIE (Vol.12634, p.1263408). (EI)
• Zhang K, Feng, X. A Vehicle Classification Method Based on Improved ResNet. In 2022 2nd Conference on High Performance Computing and Communication Engineering (HPCCE 2022), Proc. SPIE (Vol.12605, p.1260506). (EI)

Patents

• A Multi-Sensor Fusion-Based Parking Detection Method (Application Number: 202211055726.6)
• An Obstacle Detection Method Based on Monocular Camera (Application Number: 202310326277.2)
• An Obstacle Detection Method Based on Monocular Camera and Millimeter Wave Radar (Application Number: 202310478355.0)
• A Lane Detection Method Based on Monocular Camera (patent pending)
• An End-to-end Assisted Driving Method Based on Monocular Camera (patent pending)
• An Automatic Pavement Recognition Method Based on Monocular Camera (patent pending)

Awards & Certifications

Awards

• National Second-Class Award in RoboMaster University Championship Aug.2019
• Provincial First-Class Award in North Division RoboMaster University Championship Jun.2019
• Social Work Scholarship Jun.2020

Certifications

• Microsoft Certified: Azure AI Fundamentals Sept.2023
• Career Essentials in Generative AI by Microsoft and LinkedIn Aug.2023

Professional Skills

• Python, C++, C, LaTex, Linux, Shell, MATLAB, Simulink
• Proficient in algorithm research and application
• Proficient in autonomous driving data workflows, encompassing collection, processing, and annotation
• Experienced in embedded terminal deployment