🔍 Research Areas
Autonomous Vehicles and Advanced Driver Assistance Systems (ADAS)
Leveraging deep learning and sensor fusion, we develop autonomous driving systems capable of reliable operation in complex traffic and adverse weather conditions, with closed-loop validation on real vehicles.
- Vision Transformer-based multi-modal perception (camera, LiDAR, radar fusion)
- Robust visual perception under adverse weather conditions (rain and fog)
- GNSS/INS integrated localization with integrity monitoring (Fault Detection and Exclusion)
- Steer-by-wire system modeling and Model-in-the-Loop (MIL) simulation
- High-speed trajectory tracking and lateral dynamic stability control
- Full-vehicle mechatronic integration and vehicle dynamics control
Heterogeneous Unmanned Vehicle Swarm Coordination and Control
We establish a unified collaborative framework for heterogeneous platforms including UGVs, UAVs, and AMRs, achieving efficient multi-agent cooperative missions through semantic communication and reinforcement learning.
- Heterogeneous platform (UGV, UAV, AMR) cooperative task architecture
- Deep reinforcement learning-based multi-agent end-to-end path planning
- CARLA + SUMO joint traffic simulation and validation platform
- Vehicle-to-Everything (V2X) and cloud/edge collaborative resource scheduling
UAV Systems and Flight Controller Anti-Interference Research
Targeting complex electromagnetic environments and GNSS-denied scenarios, we research high-precision inertial navigation, hybrid propulsion systems, and swarm flight control technologies.
- Fiber Optic Gyroscope (FOG) inertial navigation system development and high-precision localization
- Distributed UAV swarm formation control algorithms
- Anti-jamming and backup localization mechanisms in GPS-denied environments
- Hybrid-electric propulsion system architecture and Hardware-in-the-Loop (HIL) testing
High-Speed Trajectory Tracking Control (I)
High-Speed Trajectory Tracking Control (II)
Multi-Vehicle Dynamic Path Planning
CARLA & SUMO Traffic Simulation