LiStereo: Generate Dense Depth Maps from LIDAR and Stereo Imagery

7 May 2019

Papers citing "LiStereo: Generate Dense Depth Maps from LIDAR and Stereo Imagery"

8 / 8 papers shown

Title
Stereo-LiDAR Fusion by Semi-Global Matching With Discrete Disparity-Matching Cost and Semidensification Y. Yao Ryoichi Ishikawa Takeshi Oishi 3DV 34 0 0 07 Apr 2025
Refinement of Monocular Depth Maps via Multi-View Differentiable Rendering Laura Fink Linus Franke Joachim Keinert Marc Stamminger MDE 3DV 35 0 0 04 Oct 2024
Revisiting Depth Completion from a Stereo Matching Perspective for Cross-domain Generalization Luca Bartolomei Matteo Poggi Andrea Conti Fabio Tosi S. Mattoccia 38 8 0 14 Dec 2023
Robust and accurate depth estimation by fusing LiDAR and Stereo Guangyao Xu Junfeng Fan En Li Xiaoyu Long Xuewei Cao 3DV 3DPC 37 4 0 13 Jul 2022
Sparse LiDAR Assisted Self-supervised Stereo Disparity Estimation Xiaoming Zhao Weihai Chen Xingming Wu Peter C. Y. Chen Zhengguo Li 3DV 25 1 0 31 Dec 2021
Volumetric Propagation Network: Stereo-LiDAR Fusion for Long-Range Depth Estimation Jaesung Choe Kyungdon Joo Tooba Imtiaz In So Kweon 3DPC MDE 28 33 0 24 Mar 2021
Deep Learning for Image and Point Cloud Fusion in Autonomous Driving: A Review Yaodong Cui Ren‐Hao Chen Wenbo Chu Long Chen Daxin Tian Ying Li Dongpu Cao 3DPC 32 385 0 10 Apr 2020
Deep Ordinal Regression Network for Monocular Depth Estimation Huan Fu Biwei Huang Chaohui Wang Kayhan Batmanghelich Dacheng Tao MDE 200 1,708 0 06 Jun 2018