Implementations of efficient neural rendering pipeline to generate view-consistency images and pseudo-labels for replay-based continual learning for semantic segmentation
The focus will be to assess people navigation behavior around the robot by extracting trajectories and motions. I am working on a novel detecting, tracking, and motion profile extraction pipeline on lidar and camera data.
Implementation of a working, simple, monocular visual odometry (VO) pipeline in Matlab
Proposed a simplified pipeline of last-centimeter drone delivery towards window/balcony with vision-based fiducial marker detection and collision prevention under rigorous test
Improved the existing trackers on overall performance in challenging UAV scenarios with high operational efficiency
Implemented 3D Segmentation on medical images and got A in deep learning elective course.
Implemented Outdoor SLAM @ Tongji Jiading Campus and Indoor Autonomous Navigation.