Showing 3 of 3 projects
An unsupervised learning framework for depth and ego-motion estimation from monocular videos using TensorFlow.
A real-time baseline 3D multi-object tracking system using LiDAR point clouds, combining 3D Kalman filter and Hungarian algorithm.
A deep learning pipeline for 3D object detection from RGB-D data by combining 2D detectors with PointNet-based 3D processing.
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