Donglei Zheng's repositories
CAE-LO
CAE-LO: LiDAR Odometry Leveraging Fully Unsupervised Convolutional Auto-Encoder for Interest Point Detection and Feature Description
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Language:PythonBSD-3-Clause000
Flow-Motion-Depth
This is the project page of the paper "Flow-Motion and Depth Network for Monocular Stereo and Beyond''
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loam_velodyne
Laser Odometry and Mapping (Loam) is a realtime method for state estimation and mapping using a 3D lidar.
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MSCRED
Multi-Scale Convolutional Recurrent Encoder-Decoder
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multi_view_stereonet
MultiViewStereoNet: Fast Multi-View Stereo Depth Estimation using Incremental Viewpoint-Compensated Feature Extraction
Language:PythonBSD-2-Clause000
SLAM-application
LeGO-LOAM, LIO-SAM, LVI-SAM, FAST-LIO2, Faster-LIO, VoxelMap, R3LIVE application and comparison on Gazebo and real-world datasets. Installation and config files are provided.
Language:Python000