Stereo-LiDAR Depth Estimation with Deformable Propagation and Learned Disparity-Depth Conversion
Author:
Affiliation:
1. Shanghai Jiao Tong University,Shanghai Key Laboratory of Navigation and Location-Based Service
2. Midea Corporate Research Center,Intelligent Perception Institute
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx8/10609961/10609862/10611533.pdf?arnumber=10611533
Reference43 articles.
1. Stereo vision for robotic applications in the presence of non-ideal lighting conditions
2. StereoScan: Dense 3d reconstruction in real-time
3. Stereo matching by training a convolutional neural network to compare image patches;Zbontar;J. Mach. Learn. Res.,2016
4. Real Time Dense Depth Estimation by Fusing Stereo with Sparse Depth Measurements
5. An Extensible Multi-Sensor Fusion Framework for 3D Imaging
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