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Depth Completion

13 papers with code · Computer Vision

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Self-supervised Sparse-to-Dense: Self-supervised Depth Completion from LiDAR and Monocular Camera

1 Jul 2018fangchangma/self-supervised-depth-completion

Depth completion, the technique of estimating a dense depth image from sparse depth measurements, has a variety of applications in robotics and autonomous driving.

AUTONOMOUS DRIVING DEPTH COMPLETION

Learning Depth with Convolutional Spatial Propagation Network

4 Oct 2018XinJCheng/CSPN

In this paper, we propose a simple yet effective convolutional spatial propagation network (CSPN) to learn the affinity matrix for various depth estimation tasks.

DEPTH COMPLETION DEPTH ESTIMATION STEREO MATCHING

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

31 Jan 2018kujason/ip_basic

With the rise of data driven deep neural networks as a realization of universal function approximators, most research on computer vision problems has moved away from hand crafted classical image processing algorithms.

DEPTH COMPLETION

Sparse and noisy LiDAR completion with RGB guidance anduncertainty

arXiv 2019 wvangansbeke/Sparse-Depth-Completion

For autonomous vehicles and robotics the use of LiDAR is indispensable in order to achieve precise depth predictions.

AUTONOMOUS VEHICLES DEPTH COMPLETION DEPTH ESTIMATION

Sparse and noisy LiDAR completion with RGB guidance and uncertainty

14 Feb 2019wvangansbeke/Sparse-Depth-Completion

However, we additionally propose a fusion method with RGB guidance from a monocular camera in order to leverage object information and to correct mistakes in the sparse input.

AUTONOMOUS VEHICLES DEPTH COMPLETION DEPTH ESTIMATION

Evaluating Scalable Bayesian Deep Learning Methods for Robust Computer Vision

4 Jun 2019fregu856/evaluating_bdl

We therefore accept this task and propose an evaluation framework for predictive uncertainty estimation that is specifically designed to test the robustness required in real-world computer vision applications.

DEPTH COMPLETION SEMANTIC SEGMENTATION

Confidence Propagation through CNNs for Guided Sparse Depth Regression

5 Nov 2018abdo-eldesokey/nconv

Comprehensive experiments are performed on the KITTI-Depth benchmark and the results clearly demonstrate that the proposed approach achieves superior performance while requiring only about 5% of the number of parameters compared to the state-of-the-art methods.

AUTONOMOUS DRIVING DEPTH COMPLETION

Propagating Confidences through CNNs for Sparse Data Regression

30 May 2018abdo-eldesokey/nconv

To tackle this challenging problem, we introduce an algebraically-constrained convolution layer for CNNs with sparse input and demonstrate its capabilities for the scene depth completion task.

AUTONOMOUS DRIVING DEPTH COMPLETION

3D LiDAR and Stereo Fusion using Stereo Matching Network with Conditional Cost Volume Normalization

5 Apr 2019zswang666/Stereo-LiDAR-CCVNorm

The complementary characteristics of active and passive depth sensing techniques motivate the fusion of the Li-DAR sensor and stereo camera for improved depth perception.

DEPTH COMPLETION STEREO MATCHING