Lightweight Stereo Perception and Localization Driven by Vision Foundation Models
Research on lightweight stereo perception and localization methods driven by vision foundation models.
Projects
Funded Projects and Collaborations
Development Strategy for Artificial Intelligence and Intelligent Society Toward 2045
Participation in a strategic study on the development of artificial intelligence and intelligent society toward 2045.
High-Precision Dynamic Maps and BeiDou Satellite Fusion Localization for Autonomous Driving
Research on traffic-object perception and localization by integrating high-definition maps.
Future Network Architecture for New Information Services
Research on representation and adaptation mechanisms for new information services.
Multi-scale Semantic Landmark SLAM for Autonomous Driving
Research on robust semantic landmark modeling, localization, and mapping for autonomous driving in complex urban scenes.
- Publications in robotics, photogrammetry, and intelligent transportation venues
- Algorithm integration with autonomous driving research platforms
TIEV Open-source Autonomous Driving Platform
Development and maintenance of open-source autonomous driving software and experimental platforms for education and research.
- Open-source platform for student training and research validation
- System-level integration across perception, localization, planning, and control