About Trustworthy ACPS Lab
People at Trustworthy ACPS Lab
- Develop theories, algorithms, and tools to detect, verify, and enhance the safety and security properties of ACPS.
- Develop methods and tools for theoreteical and practical understanding of complex systems, for example the interpretability of deep learning.
Application areas include (but not limited to)
- Robotics, for example, self-driving cars, underwater vehicles, etc.
- Internet of things, for example, wireless sensor networks.
- Healthcare, for example, diagnosis through brain imaging and human activity recognition.
Please feel free to get in touch if you are interested in our research and want to collaborate with us on any topic related to ACPS.
Robotics
Publication Demos
Uncertainty Estimation for 3D Dense Prediction via Cross-Point Embeddings
- We propose a generic and effective framework, CUE, for dense uncertainty estimation of 3D point clouds.
