Research
Current Research
Sensor Fusion using Equivariant and Foundation Models
More detail coming soon!
Past Research & Projects
SE3ET: SE(3)-Equivariant Transformer for Low-Overlap Point Cloud Registration
We propose SE3ET, an SE(3)-equivariant registration framework that employs equivariant point convolution and equivariant transformer design to learn expressive and robust geometric features.
[GitHub]
A New Framework for Registration of Semantic Point Clouds from Stereo and RGB-D Cameras
Mini Cheetah Perception
Added camera and computational resource to perform semantic mapping on mini cheetah.
SIFT Flow CVO
Used SIFT-flow as additional labels to improve Continuous Visual Odometry (CVO).
[GitHub]
Structured Light 3D Reconstruction
Reconstructed an underwater scene in 3D, using structured light systems that project light patterns on the objects and enable the reconstruction of its structure, despite the low texture and low contrast of underwater images.
Pest Surveillance System
Constructed an IoT-based wireless imaging and sensor node system for remote greenhouse pest monitoring, with 90% accuracy of pest classification using deep neural network, enabling farmers easily notice amount change of pest in real-time.
[Paper]
Plant Growth Monitoring System
Built a Plant Growth Monitoring System to monitor the growth of Cordyceps militaris using Qt, OpenCV and Raspberry Pi.
A Novel Nitinol Spherical Occlusion Device for Liver Cancer
A novel nitinol “spherical occlusion device” concept that is able to reduce the blood flow to cancer cells by deploying it in the upstream hepatic artery supplying blood to the liver. Moreover, it could carry multiple chemotherapy or radioactive drugs for delivery directly to the target site.
[Paper]