YANG TANG

• Working Department: State Key Laboratory of High-end Automobile Integration and Control, China FAW
• Responsible for implementing cutting-edge technologies and participating in key provincial and municipal projects. Focused on perception system development, debugging, and maintenance.
• L4 Autonomous Driving Key Scene Software (Provincial Key Project).Engineer for perception modules, including LiDAR-based CenterPoint and BEVFusion sensor fusion algorithms.Implemented YOLOv7 for traffic signal detection and refined lane detection using hybrid algorithms.Autonomous driving data acquisition based on ros and lcm
• Multi-modal Fusion Photomachine System.Explored fusion of radar, LiDAR, and vision-based inputs for real-time perception under various driving conditions.
• Embodied Intelligence.Working on embodied intelligence by utilizing Mujoco for robot-environment interaction and perception development with Intel RealSense D435, while exploring locomotion reinforcement learning using Isaac lab for legged robots.

Participated in the development and debugging of judicial service software for Jiulongpo District Court, and supported hardware installation and central control system integration for the conference system of Yuzhong District Public Security Bureau.

Operated and studied Rainbow Group’s automated production line to understand industrial automation systems, and assisted in the hardware installation and commissioning of electric blanket processing machinery.