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   Articles with "depth completion" as a keyword



DepthNet: Real-Time LiDAR Point Cloud Depth Completion for Autonomous Vehicles

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recommendations! Published in 2020 at "IEEE Access"

DOI: 10.1109/access.2020.3045681

Abstract: Autonomous vehicles rely heavily on sensors such as camera and LiDAR, which provide real-time information about their surroundings for the tasks of perception, planning and control. Typically, a LiDAR can only provide sparse point cloud… read more here.

Keywords: lidar; real time; depth completion;

Wasserstein Generative Adversarial Network for Depth Completion with Anisotropic Diffusion Depth Enhancement

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recommendations! Published in 2022 at "IEEE Access"

DOI: 10.1109/access.2022.3142916

Abstract: The objective of depth completion is to generate a dense depth map by upsampling a sparse one. However, irregular sparse patterns or the lack of groundtruth data caused by unstructured data make depth completion extremely… read more here.

Keywords: depth; adversarial network; depth completion; generative adversarial ... See more keywords

AGNet: Attention Guided Sparse Depth Completion Using Convolutional Neural Networks

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recommendations! Published in 2022 at "IEEE Access"

DOI: 10.1109/access.2022.3144596

Abstract: Sparse depth completion generates a dense depth image from its sparse measurement with the guidance of RGB image. In this paper, we propose attention guided sparse depth completion using convolutional neural networks, called AGNet. We… read more here.

Keywords: depth; depth completion; sparse depth; attention ... See more keywords

SemAttNet: Toward Attention-Based Semantic Aware Guided Depth Completion

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recommendations! Published in 2022 at "IEEE Access"

DOI: 10.1109/access.2022.3214316

Abstract: Depth completion involves recovering a dense depth map from a sparse map and an RGB image. Recent approaches focus on utilizing color images as guidance images to recover depth at invalid pixels. However, color images… read more here.

Keywords: map; depth map; depth; color ... See more keywords

Lambertian Model-Based Normal Guided Depth Completion for LiDAR-Camera System

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recommendations! Published in 2022 at "IEEE Geoscience and Remote Sensing Letters"

DOI: 10.1109/lgrs.2021.3063379

Abstract: Depth completion is an essential task for the dense scene reconstruction on light detection and ranging (LiDAR)-camera system. Learning-based method achieves precise depth completion results on specific data sets. However, for the general outdoor scenes… read more here.

Keywords: normal guided; lidar camera; completion; depth completion ... See more keywords

Aerial Single-View Depth Completion With Image-Guided Uncertainty Estimation

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recommendations! Published in 2020 at "IEEE Robotics and Automation Letters"

DOI: 10.1109/lra.2020.2967296

Abstract: On the pursuit of autonomous flying robots, the scientific community has been developing onboard real-time algorithms for localisation, mapping and planning. Despite recent progress, the available solutions still lack accuracy and robustness in many aspects.… read more here.

Keywords: completion; uncertainty estimation; depth completion; image ... See more keywords

An Adaptive Framework for Learning Unsupervised Depth Completion

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recommendations! Published in 2021 at "IEEE Robotics and Automation Letters"

DOI: 10.1109/lra.2021.3062602

Abstract: We present a method to infer a dense depth map from a color image and associated sparse depth measurements. Our main contribution lies in the design of an annealing process for determining co-visibility (occlusions, disocclusions)… read more here.

Keywords: adaptive framework; unsupervised depth; depth completion; depth ... See more keywords

A Surface Geometry Model for LiDAR Depth Completion

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recommendations! Published in 2021 at "IEEE Robotics and Automation Letters"

DOI: 10.1109/lra.2021.3068885

Abstract: LiDAR depth completion is a task that predicts depth values for every pixel on the corresponding camera frame, although only sparse LiDAR points are available. Most of the existing state-of-the-art solutions are based on deep… read more here.

Keywords: lidar; surface geometry; geometry; depth completion ... See more keywords

CU-Net: LiDAR Depth-Only Completion With Coupled U-Net

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recommendations! Published in 2022 at "IEEE Robotics and Automation Letters"

DOI: 10.1109/lra.2022.3201193

Abstract: LiDAR depth-only completion is a challenging task to estimate dense depth maps only from sparse measurement points obtained by LiDAR. Even though the depth-only methods have been widely developed, there is still a significant performance… read more here.

Keywords: depth completion; lidar depth; coupled net; depth ... See more keywords

Guided Spatial Propagation Network for Depth Completion

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recommendations! Published in 2022 at "IEEE Robotics and Automation Letters"

DOI: 10.1109/lra.2022.3221665

Abstract: Depth completion aims to recover dense depth maps from sparse depth maps using the corresponding RGB images as guides. Learning guided convolutional network (GuideNet) is one of the state-of-the-art (SoTA) depth completion methods. In this… read more here.

Keywords: depth completion; completion; spatial propagation; propagation network ... See more keywords

DistillGrasp: Integrating Features Correlation With Knowledge Distillation for Depth Completion of Transparent Objects

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recommendations! Published in 2024 at "IEEE Robotics and Automation Letters"

DOI: 10.1109/lra.2024.3455849

Abstract: Due to the visual properties of reflection and refraction, RGB-D cameras cannot accurately capture the depth of transparent objects, leading to incomplete depth maps. To fill in the missing points, recent studies tend to explore… read more here.

Keywords: depth completion; correlation; transparent objects;