Stereo-LiDAR Depth Estimation with Deformable Propagation and Learned Disparity-Depth Conversion

Ang Li; Anning Hu; Wei Xi; Wenxian Yu; Danping Zou

doi:10.1109/icra57147.2024.10611533

ScienceGate Book Chapters

JOURNAL ARTICLE

Stereo-LiDAR Depth Estimation with Deformable Propagation and Learned Disparity-Depth Conversion

Ang Li Anning Hu Wei Xi Wenxian Yu Danping Zou

Year: 2024 Pages: 2729-2736

DOI: 10.1109/icra57147.2024.10611533

Get Full-Text PDF Get Analytical Report

Keywords:

Lidar Computer science Artificial intelligence Computer vision Depth map 2D to 3D conversion Stereopsis Depth perception Estimation Geology Computer graphics (images) Remote sensing Image (mathematics) Engineering

Metrics

Cited By

3.71

FWCI (Field Weighted Citation Impact)

Refs

0.88

Citation Normalized Percentile

Is in top 1%

Is in top 10%

Citation History

Topics

Advanced Vision and Imaging

Physical Sciences → Computer Science → Computer Vision and Pattern Recognition

Optical measurement and interference techniques

Physical Sciences → Computer Science → Computer Vision and Pattern Recognition

Robotics and Sensor-Based Localization

Physical Sciences → Engineering → Aerospace Engineering

Stereo-LiDAR Depth Estimation with Deformable Propagation and Learned Disparity-Depth Conversion

Metrics

Citation History

Topics

Related Documents

Stereo Video Depth Estimation Based on Disparity Map Propagation

Volumetric Propagation Network: Stereo-LiDAR Fusion for Long-Range Depth Estimation

SLiDE: Stereo-LiDAR Depth Estimation with Domain-Aware Attention

Extending Lidar Depth Range using Stereo Depth Estimation on Intensity Data

LiDAR - Stereo Camera Fusion for Accurate Depth Estimation