[2025 – 2026] Building an open synthetic benchmark and reference baselines for V2X cooperative 3D semantic occupancy prediction, so that connected vehicles and roadside infrastructure can jointly reconstruct dense, semantically rich representations of the driving scene.Read more
[2024 – 2026] Unmanned Aerial Vehicles (UAVs) and Autonomous Mobile Robots (AMRs) are foundational platforms for 6G-era applications spanning aerial surveillance, disaster response, warehouse logistics, and precision agriculture. Autonomous trajectory planning under interference, partial observability, energy constraints, and multi-agent coordination remains a central bottleneck.Read more
[2023 – 2024] Research on developing safer and more human-like autonomous driving systems using large language models that learn human driving preferences.Read more
[2025] A novel framework enabling collaborative perception among vehicles with different models by adapting on-the-fly during inference.Read more
[2023 – 2025] Building a federated learning-based architecture for efficient and secure communication and intelligence in connected autonomous vehicles.Read more
