DepthNet: Real-Time LiDAR Point Cloud Depth Completion for Autonomous Vehicles
Sign Up to like & getrecommendations! 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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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
Sign Up to like & getrecommendations! 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
Sign Up to like & getrecommendations! 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
Sign Up to like & getrecommendations! 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
Sign Up to like & getrecommendations! 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
Sign Up to like & getrecommendations! 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
Sign Up to like & getrecommendations! 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
Sign Up to like & getrecommendations! 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
Sign Up to like & getrecommendations! 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
Adaptive Context-Aware Multi-Modal Network for Depth Completion
Sign Up to like & getrecommendations! Published in 2021 at "IEEE Transactions on Image Processing"
DOI: 10.1109/tip.2021.3079821
Abstract: Depth completion aims to recover a dense depth map from the sparse depth data and the corresponding single RGB image. The observed pixels provide the significant guidance for the recovery of the unobserved pixels’ depth.… read more here.
Keywords: multi modal; network; depth; depth completion ... See more keywords