Shuyun Guo

• Design and implement high-level software architectures for LiDAR-based object detection and freespace detection functions
• Design and deploy the deep learning techniques with classical algorithms to enhance perception performance
• Collaborate with cross-functional teams to develop and optimize LiDAR-based perception functions

Focus: LiDAR data processing, object detection, and free-space detection

• Expertise in point cloud data analysis, including noise reduction and blooming point removal (false positives caused by optical effects) to generate clean LiDAR data
• Experienced in point cloud clustering and feature extraction for object detection and classification
• Lead critical algorithm development topics, including small object detection and ghost object removal
• Develop and optimize real-time free-space detection algorithms for autonomous driving applications

Camera Based Traffic Light Recognition for Trucks

• Enhance traffic sign detection algorithms through machine learning methods using OpenCV and C++

Vehicle Safety System Architecture Design

• Design and develop the integration framework of various Vehicle safety systems (e.g Collision avoidance, detection driver behavior, airbag control) using UML