depth fusion from lidar and cameras

Depth fusion from lidar and cameras

•Noise-Aware Filter for RT Depth Upsampling

•Integrating LIDAR into Stereo for Fast and Improved Disparity Computation

•Real-time probabilistic fusion of sparse 3D LIDAR - dense stereo

•Mono Stixels: A LIDAR-guided Approach

•Depth Map Completion by Jointly Exploiting Blurry Color Images and Sparse Depth Maps

•High-Resolution Depth Maps Based on TOF-Stereo Fusion

•Fusion of LiDAR and Wide-Angle Camera Data for Autonomous Mobile Robots

•Fusion of Time-of-Flight Depth and Stereo for High Accuracy Depth Maps

•Image Guided Depth Upsampling using Anisotropic Total Generalized Variation

•Semantically Guided Depth Upsampling

•Intensity guided depth upsampling by residual interpolation

•Depth Map Upsampling by Self-Guided Residual Interpolation

•Depth Recovery Using an Adaptive Color-Guided Auto-Regressive Model

•In Defense of Classical Image Processing: Fast Depth Completion on the CPU

•Joint Geodesic Upsampling of Depth Images

•Depth Image Inpainting: Improving Low Rank Matrix Completion with Low Gradient Regularization